pacman::p_load(tmap, sf, sp, DT, performance, reshape2, units, tidyverse, sfdep, stplanr, ggpubr)Take-Home_Ex2
A Study of Singapore Public Bus Flow during the Weekend/Holiday Morning Peak 11am - 2pm
Overview and Objectives
This study will revolve around the flow of commuter bus trips in Singapore. Its objectives are as follow:
Identifying and Creating an appropriate Traffic Analysis Zone (TAZ) in the form of hexagon cells based on the locations of Singapore bus stops.
Visualizing the desired lines (flowlines) based on the origin-destination (O-D) data of commuter bus trips in Singapore based on a particular time frame and the defined TAZ.
Creating and Comparing different Spatial Interaction Models based on the O-D matrix and other relevant features in the origin and destination hexagon cells in the particular time frame.
Getting Started
First, the necessary R packages will be loaded using the p_load() function of the pacman package. p_load() will also install any package which is not already installed. The following packages will be loaded:
DT: Provides an R interface to the JavaScript library DataTables.
ggpubr: To arrange ggplot maps in a grid.
performance: For assessing model quality and model comparison.
reshape2: For restructuring data
sf: For handling of geospatial data.
sfdep: For determining the spatial dependence of spatial features. The three main categories of functionality relates to the determination of geometry neighbors, weights, and LISA.
sp: Classes and methods for spatial data.
stplanr: For creating desire lines on origin-destination data.
tidyverse: For manipulation of non-spatial data. This package contains ggplot2 for plotting, dplyr and tidyr for dataframe manipulation, and readr for reading comma-separated values (CSV).
tmap: For thematic mapping, especially the mapping of simple features data frame.
units: Support for measurement units in R vectors, matrices and arrays
Defining the Desired Time Frame
There are four time windows of transit behaviour which can be considered:
| Peak hour period | Bus tap on time |
|---|---|
| Weekday morning peak | 6am to 9am |
| Weekday afternoon peak | 5pm to 8pm |
| Weekend/holiday morning peak | 11am to 2pm |
| Weekend/holiday evening peak | 4pm to 7pm |
This study will focus on the Weekend/holiday Morning Peak 11am - 2pm. This would allow the study to focus on the transit flow of Singapore residents during a period of rest and relaxation, leading to recommendations to improve the attractiveness of dining, leisure, retail, and entertainment destinations in Singapore.
Importing Required Data
For the purpose of this study, two types of data will be used: geospatial data which consists of spatial features and their coordinates information, and aspatial data which consists of attributes which can be ascribed to the geospatial data. Specifically, the following datasets will be used for each type:
- Geospatial Data:
- BusStop.shp: This shape file contains the locations of the bus stops in Singapore as at July 2023. This file can be retrieved from the Land Transport Authority (LTA) Data Mall (link). They are stored as points.
- RapidTransitSystemStation.shp: This shape file contains the locations of all Mass Rapid Transit (MRT) and Light Rail Transit (LRT) stations in Singapore in polygon shapes.
- Train_Station_Exit_Layer.shp: This shape file contains the exit points of all MRT and LRT stations in Singapore. They are stored as points.
- entertn.shp: This shape file contains the locations of entertainment venues in Singapore such as cinemas and theatres. They are stored as points.
- F&B.shp: This shape file contains the locations of Food & Beverage venues in Singapore such as restaurants and cafes. They are stored as points.
- FinServ.shp: This shape file contains the locations of Financial Services in Singapore such ATMs, money changers, and banks. They are stored as points.
- Liesure&Recreation.shp: This shape file contains the locations of Leisure and Recreation venues in Singapore such as sport venues, museums, and galleries. They are stored as points.
- Retails.shp: This shape file contains the locations of Retail venues in Singapore, including all shops which might not fall under other categories. They are stored as points.
- Aspatial Data:
- origin_destination_bus_202309.csv: This CSV file contains the detail of bus trips from an originating bus stop to a destination bus stop, identified by their unique codes, each hour of the day during September 2023. The data is further broken down into weekend or weekday, but not by the specific day of the week. This data can be retrieved by using the LTA Data Mall’s API (link).
- hdb.csv: This CSV file contains the details of different HDB blocks in Singapore, including the number of dwelling units and their types. More importantly, it also consists of the longitudes and latitudes of the HDB blocks, which would allow us to create a sf data frame and treat the information as a spatial object.
The first steps taken will be to import these files into the R environment in a manipulable format.
Importing Geospatial Data
Geospatial data can be imported using the st_read() function of the sf package. This will import the file into the R environment as a sf (simple features) data frame. st_transform() can be added to transform the Coordinate Reference System (CRS) to EPSG: 3414, which is the CRS of Singapore.
Note
In st_read():
dsn: the directory where the shape file is stored
layer: the name of the shape file
Master Planning Sub-Zone 2019
Important
Even though the study’s analysis layer is based on hexagon cells, by importing the Master Planning Sub-Zone 2019 file, other point layers such as Retail and Leisure can be contextualized onto the map of Singapore. This will allows for the visualization of their locations in different planning sub-zones of Singapore.
mpsz <- st_read(dsn = 'data/geospatial',
layer = 'MPSZ-2019') %>%
st_transform(crs = 3414)Reading layer `MPSZ-2019' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 103.6057 ymin: 1.158699 xmax: 104.0885 ymax: 1.470775
Geodetic CRS: WGS 84glimpse(mpsz)Rows: 332
Columns: 7
$ SUBZONE_N <chr> "MARINA EAST", "INSTITUTION HILL", "ROBERTSON QUAY", "JURON…
$ SUBZONE_C <chr> "MESZ01", "RVSZ05", "SRSZ01", "WISZ01", "MUSZ02", "MPSZ05",…
$ PLN_AREA_N <chr> "MARINA EAST", "RIVER VALLEY", "SINGAPORE RIVER", "WESTERN …
$ PLN_AREA_C <chr> "ME", "RV", "SR", "WI", "MU", "MP", "WI", "WI", "SI", "SI",…
$ REGION_N <chr> "CENTRAL REGION", "CENTRAL REGION", "CENTRAL REGION", "WEST…
$ REGION_C <chr> "CR", "CR", "CR", "WR", "CR", "CR", "WR", "WR", "CR", "CR",…
$ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((33222.98 29..., MULTIPOLYGON (…The data type for each column can be seen as well as some of their values. For sf data frames, there is a geometry column (MULTIPOLYGON type) which contains the location information for each polygon.
Additionally, mpsz can be visualized in order to spot any anomaly. This can be done using the qtm() function in the tmap package for quick plotting.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_layout(main.title = 'Singapore Planning Subzones',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)+
tm_credits('Sourrce: Planning Sub-zone boundary from Urban Redevelopment Authority',
position = c('left','bottom'))
Bus Stop
The steps used to import and examine the mpsz data frame can be repeated for the busstop data frame.
busstop <- st_read(dsn = 'data/geospatial',
layer = 'BusStop') %>%
st_transform(crs = 3414)Reading layer `BusStop' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21glimpse(busstop)Rows: 5,161
Columns: 4
$ BUS_STOP_N <chr> "22069", "32071", "44331", "96081", "11561", "66191", "2338…
$ BUS_ROOF_N <chr> "B06", "B23", "B01", "B05", "B05", "B03", "B02A", "B02", "B…
$ LOC_DESC <chr> "OPP CEVA LOGISTICS", "AFT TRACK 13", "BLK 239", "GRACE IND…
$ geometry <POINT [m]> POINT (13576.31 32883.65), POINT (13228.59 44206.38),…Additionally, busstop can be visualized in order to spot any anomaly. This can be done using the tm_shape() function in the tmap package for quick plotting.
Note
A separate tm_shape() argument can be used to add the mpsz object as a layer on which the bus stops can be visualized. This will allow for the contextualization of bus stop locations on Singapore map.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(busstop)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Bus Stops',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)+
tm_credits('Sourrce: Bus Stops Location from Land Transport Authority',
position = c('left','bottom'))
The visualization shows us that there are four bus stops in Malaysia. Let’s remove them so that only bus stops in Singapore will be considered. This is because these special bus stops might exhibit different behaviors due to their different context from the rest of the bus stops in Singapore.
filter() can be used in conjunction with a dplyr step to remove these bus stops.
busstop <- busstop %>% filter(!BUS_STOP_N %in% c('46609','47701', '46211', '46219', '46239'))tm_shape() can be used again to check that the bus stops have been removed.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(busstop)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Bus Stops',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)+
tm_credits('Sourrce: Bus Stops Location from Land Transport Authority',
position = c('left','bottom'))
Entertainment
A similar procedures can be done to glimpse and map the information in the other sf data frames.
Entertainment <- st_read(dsn = 'data/geospatial',
layer = 'entertn')Reading layer `entertn' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 114 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 10809.34 ymin: 26528.63 xmax: 41600.62 ymax: 46375.77
Projected CRS: SVY21 / Singapore TMglimpse(Entertainment)Rows: 114
Columns: 4
$ POI_NAME <chr> "TP AUDITORIUM", "NP CONVENTION CENTRE", "SP AUDITORIUM", "…
$ POI_ST_NUM <chr> NA, NA, NA, "1", "350", NA, "201", NA, "83", "328", NA, "5"…
$ POI_ST_NAM <chr> NA, NA, NA, "FULLERTON SQ", "BALESTIER RD", "TRENGGANU ST",…
$ geometry <POINT [m]> POINT (39115.71 36392.13), POINT (21533.12 34921.34),…As can be seen, venues such as galleries, theatres, and cinemas are included in the Entertainment data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(Entertainment)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Entertainment Venues',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
An immediate stand-out from the visualization is the fact that most entertainment venues are concentrated in the Downtown Core area, which might be a potential attractive factor.
Food and Beverage (F&B)
FoodBev <- st_read(dsn = 'data/geospatial',
layer = 'F&B')Reading layer `F&B' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 1919 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25343.27 xmax: 45462.43 ymax: 48796.21
Projected CRS: SVY21 / Singapore TMglimpse(FoodBev)Rows: 1,919
Columns: 4
$ POI_NAME <chr> "KHEL", "I PUB", "LARK LOUNGE & NITE-CLUB", "CHAKRAVARTHY",…
$ POI_ST_NUM <chr> "141", "14", "195", "195", "48", "36", "10", "697", "11", "…
$ POI_ST_NAM <chr> "KITCHENER RD", "CHUN TIN RD", "LAVENDER ST", "LAVENDER ST"…
$ geometry <POINT [m]> POINT (30654.44 32466.51), POINT (21515.34 36007.18),…As can be seen, venues such as pubs, restaurants, and cafes are included in the FoodBev data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(FoodBev)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore F&B Venues',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
An immediate stand-out from the visualization is the fact that most F&B venues are concentrated in the Downtown Core area, which might be a potential attractive factor.
Financial Services
FinServ <- st_read(dsn = 'data/geospatial',
layer = 'FinServ')Reading layer `FinServ' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 3320 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4881.527 ymin: 25171.88 xmax: 46526.16 ymax: 49338.02
Projected CRS: SVY21 / Singapore TMglimpse(FinServ)Rows: 3,320
Columns: 4
$ POI_NAME <chr> "UOB", "POSB", "UOB", "OCBC", "OCBC", "MAYBANK", "ADPOST MO…
$ POI_ST_NUM <chr> "201", "375", "375", "375", NA, "707", "163", NA, "11", NA,…
$ POI_ST_NAM <chr> "YISHUN AVE 2", "COMMONWEALTH AVE", "COMMONWEALTH AVE", "CO…
$ geometry <POINT [m]> POINT (27966.77 44304.65), POINT (24163.96 31606.25),…As can be seen, venues such as bank branches, moneychangers, and ATMs are included in the FinServ data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(FinServ)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Financial Services',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
Unlike Entertainment and F&B Venues, Financial Services are more distributed throughout Singapore. However, there still seems to be concentration in the Downtown Core.
Leisure
Leisure <- st_read(dsn = 'data/geospatial',
layer = 'Liesure&Recreation')Reading layer `Liesure&Recreation' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 1217 features and 30 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25134.28 xmax: 48439.77 ymax: 50078.88
Projected CRS: SVY21 / Singapore TMglimpse(Leisure)Rows: 1,217
Columns: 31
$ LINK_ID <dbl> 914885888, 1046871091, 845355245, 940657500, 940657500, 941…
$ POI_ID <dbl> 1192316147, 1132324271, 1132324254, 1110521716, 1110521715,…
$ SEQ_NUM <int> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ FAC_TYPE <int> 8410, 7997, 7997, 7997, 7997, 8410, 7997, 7997, 7997, 7997,…
$ POI_NAME <chr> "NIE ART GALLERY", "ASPIRE CONCEPT", "SOCCERPUNTER", "ANAND…
$ POI_LANGCD <chr> "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "EN…
$ POI_NMTYPE <chr> "B", "B", "B", "B", "B", "B", "B", "J", "B", "B", "B", "B",…
$ POI_ST_NUM <chr> NA, "883", "14", "1", "1", "39", NA, NA, "108", "11", "11",…
$ ST_NUM_FUL <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "169A", NA, NA,…
$ ST_NFUL_LC <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "ENG", NA, NA, …
$ ST_NAME <chr> "NANYANG CRES", "NORTH BRIDGE RD", "ROBINSON RD", "MARINE P…
$ ST_LANGCD <chr> "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", NA, NA, "ENG", "E…
$ POI_ST_SD <chr> "R", "L", "L", "R", "R", "L", "R", "R", "L", "L", "L", "R",…
$ ACC_TYPE <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ PH_NUMBER <chr> NA, "66347769", NA, NA, "63446164", "63327591", "67659324",…
$ CHAIN_ID <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ NAT_IMPORT <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ PRIVATE <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ IN_VICIN <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ NUM_PARENT <int> 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 0, 0,…
$ NUM_CHILD <int> 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,…
$ PERCFRREF <int> NA, NA, NA, 43, 43, 51, 40, 40, NA, NA, 40, 99, 59, 15, NA,…
$ VANCITY_ID <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ ACT_ADDR <chr> NA, NA, NA, NA, NA, NA, "1 CHOA CHU KANG STREET 53 …
$ ACT_LANGCD <chr> NA, NA, NA, NA, NA, NA, "ENG", "ENG", NA, NA, NA, NA, NA, N…
$ ACT_ST_NAM <chr> NA, NA, NA, NA, NA, NA, "CHOA CHU KANG STREET 53", "CHOA CH…
$ ACT_ST_NUM <chr> NA, NA, NA, NA, NA, NA, "1", "1", NA, NA, NA, NA, NA, NA, N…
$ ACT_ADMIN <chr> NA, NA, NA, NA, NA, NA, "SINGAPORE", "SINGAPORE", NA, NA, N…
$ ACT_POSTAL <chr> NA, NA, NA, NA, NA, NA, "689236", "689236", NA, NA, NA, NA,…
$ ENTR_TYPE <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ geometry <POINT [m]> POINT (10664.66 36585.97), POINT (31490.24 32040.81),…As can be seen, venues such as museums, sport activities, and parks are included in the Leisure data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation. However, this data frame contains too many variables which might not be used. In order to standardize it to other data frames, the select() function can be used.
Note
The Leisure data frame contains a variable named “ST_NAME” which is the street name of the venue. This can be renamed to “POI_ST_NAM” to standardize it to other data frames. “POI_ST_NAM” refers to the street name of the point polygon, which might differ slightly to “ST_NAME”, but not meaningfully so.
rename() can be used to perform this operation.
Leisure <- Leisure %>%
select(POI_NAME, POI_ST_NUM, ST_NAME, geometry) %>%
rename(POI_ST_NAM = ST_NAME)
glimpse(Leisure)Rows: 1,217
Columns: 4
$ POI_NAME <chr> "NIE ART GALLERY", "ASPIRE CONCEPT", "SOCCERPUNTER", "ANAND…
$ POI_ST_NUM <chr> NA, "883", "14", "1", "1", "39", NA, NA, "108", "11", "11",…
$ POI_ST_NAM <chr> "NANYANG CRES", "NORTH BRIDGE RD", "ROBINSON RD", "MARINE P…
$ geometry <POINT [m]> POINT (10664.66 36585.97), POINT (31490.24 32040.81),…tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(Leisure)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Leisure Venues',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
An immediate stand-out from the visualization is the fact that most retail venues are concentrated in the Downtown Core area, which might be a potential attractive factor.
Retails
Retails <- st_read(dsn = 'data/geospatial',
layer = 'Retails')Reading layer `Retails' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 37635 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4737.982 ymin: 25171.88 xmax: 48265.04 ymax: 50135.28
Projected CRS: SVY21 / Singapore TMglimpse(Retails)Rows: 37,635
Columns: 4
$ POI_NAME <chr> "TIAN KEE & CO", "PEOPLE TRADITIONAL CHINESE MEDICAL", "RIV…
$ POI_ST_NUM <chr> "12", "12", NA, NA, "588", "243", "208", "267", "231", "158…
$ POI_ST_NAM <chr> "DAKOTA CRES", "DAKOTA CRES", NA, NA, "SERANGOON RD", "ALEX…
$ geometry <POINT [m]> POINT (33713.83 32023.15), POINT (33713.83 32023.15),…As can be seen, venues such as bank pharmacy, gift shops, and other general and specialized stores are included in the Retails data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(Retails)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore Retails Venues',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
Unlike other data frames, it appears that retail venues are quite distributed across the islands, with most location having many different retail venues. However, this map is lacking in fidelity in terms of the type of retail venues, specifically in the category of goods sold.
Train Station and Station Exits
trainstation <- st_read(dsn = 'data/geospatial',
layer = 'RapidTransitSystemStation')Reading layer `RapidTransitSystemStation' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 220 features and 4 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 6068.209 ymin: 27478.44 xmax: 45377.5 ymax: 47913.58
Projected CRS: SVY21# trainstation <- trainstation %>%
# filter(st_is_valid(.))
glimpse(trainstation)Rows: 220
Columns: 5
$ TYP_CD <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ STN_NAM <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ TYP_CD_DES <chr> "MRT", "MRT", "MRT", "MRT", "MRT", "LRT", "MRT", "MRT", "LR…
$ STN_NAM_DE <chr> "ESPLANADE MRT STATION", "PAYA LEBAR MRT STATION", "DHOBY G…
$ geometry <POLYGON [m]> POLYGON ((30566.07 30621.21..., POLYGON ((34495.6 3…As can be seen, trainstation data frame contains the that type of stations, their names, and their geometry in polygon shape. However, there is a warning message that there are non-closed ring, which indicates that some polygons are not whole in that their start point and their end point are not the same. This can be addressed by fixing the non-closed polygon using st_make_valid() or by filtering them out of the data frame using st_is_valid() and filter(). For this study, These polygons will be removed as contextual information on why they are non-closed is missing.
Additionally, the projected CRS is SVY21, and requires transformation to SVY21/Singapore TM using st_transform().
trainstation <- trainstation %>%
filter(st_is_valid(.)) %>%
st_transform(crs = 3414)
glimpse(trainstation)Rows: 217
Columns: 5
$ TYP_CD <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ STN_NAM <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ TYP_CD_DES <chr> "MRT", "MRT", "MRT", "MRT", "MRT", "LRT", "MRT", "MRT", "LR…
$ STN_NAM_DE <chr> "ESPLANADE MRT STATION", "PAYA LEBAR MRT STATION", "DHOBY G…
$ geometry <POLYGON [m]> POLYGON ((30566.07 30621.21..., POLYGON ((34495.6 3…st_crs(trainstation)Coordinate Reference System:
User input: EPSG:3414
wkt:
PROJCRS["SVY21 / Singapore TM",
BASEGEOGCRS["SVY21",
DATUM["SVY21",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4757]],
CONVERSION["Singapore Transverse Mercator",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",1.36666666666667,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",103.833333333333,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",1,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",28001.642,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",38744.572,
LENGTHUNIT["metre",1],
ID["EPSG",8807]]],
CS[Cartesian,2],
AXIS["northing (N)",north,
ORDER[1],
LENGTHUNIT["metre",1]],
AXIS["easting (E)",east,
ORDER[2],
LENGTHUNIT["metre",1]],
USAGE[
SCOPE["Cadastre, engineering survey, topographic mapping."],
AREA["Singapore - onshore and offshore."],
BBOX[1.13,103.59,1.47,104.07]],
ID["EPSG",3414]]After the transformation, 3 features have been removed and the projected CRS is now SVY21/Singapore TM.
Before visualizing the trainstation, the train exit points can be imported so that they can be visualized together due to their inherently connected nature.
trainexit <- st_read(dsn = 'data/geospatial',
layer = 'Train_Station_Exit_Layer')Reading layer `Train_Station_Exit_Layer' from data source
`D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 565 features and 2 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6134.086 ymin: 27499.7 xmax: 45356.36 ymax: 47865.92
Projected CRS: SVY21glimpse(trainexit)Rows: 565
Columns: 3
$ stn_name <chr> "MACPHERSON MRT STATION", "MACPHERSON MRT STATION", "MACPHER…
$ exit_code <chr> "Exit A", "Exit B", "Exit C", "Exit B", "Exit A", "Exit A", …
$ geometry <POINT [m]> POINT (34285.07 34322.99), POINT (34382.15 34231.9), P…The train exit data frame consists of each MRT and LRT stations and the point geometry of all of their exits. However, its projected CRS is SVY21, which should be transformed into SVY21/Singapore TM using st_transform().
trainexit <- trainexit %>%
st_transform(crs = 3414)
st_crs(trainexit)Coordinate Reference System:
User input: EPSG:3414
wkt:
PROJCRS["SVY21 / Singapore TM",
BASEGEOGCRS["SVY21",
DATUM["SVY21",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4757]],
CONVERSION["Singapore Transverse Mercator",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",1.36666666666667,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",103.833333333333,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",1,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",28001.642,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",38744.572,
LENGTHUNIT["metre",1],
ID["EPSG",8807]]],
CS[Cartesian,2],
AXIS["northing (N)",north,
ORDER[1],
LENGTHUNIT["metre",1]],
AXIS["easting (E)",east,
ORDER[2],
LENGTHUNIT["metre",1]],
USAGE[
SCOPE["Cadastre, engineering survey, topographic mapping."],
AREA["Singapore - onshore and offshore."],
BBOX[1.13,103.59,1.47,104.07]],
ID["EPSG",3414]]Now, both trainstation and trainexit can be visualized together using the tmap package.
Note
Due to the smaller size of the train station polygons, it will be difficult to see them on a static map. tmap_mode(‘view’) can be used to create an interactive map which would allow for zoom.
Some helpful functions can be used to create a better interactive map:
tmap_options(check.and.fix = TRUE): Even though our data frames do not contain any broken polygons, this argument can still be added in order to close any non-closed polygons.
tm_view(set.zoom.limits = c(11,14)): This option is added to limit the zoom level of the map, preventing user from zooming in too close or zooming out too far. 11 indicates the minimum zoom level while 14 indicates the maximum zoom level.
tmap_mode(‘plot’): This function is added to return the tmap_mode to plotting mode for later code chunks. This will ensure that the next code chunk is the lighter, static plot rather than an interactive plot by default.
tmap_options(check.and.fix = TRUE)
tmap_mode('view')
tm_shape(mpsz)+
tm_polygons(alpha = 0.5)+
tm_shape(trainstation)+
tm_fill(col = 'blue',
id = 'STN_NAM_DE')+
tm_shape(trainexit)+
tm_dots(col = 'red',
id = 'exit_code')+
tm_view(set.zoom.limits = c(11,16))+
tm_layout(title = 'Singapore Train Station and Exits',
title.position = c('right','top'))tmap_mode('plot')There are two immediate issues which emerge by looking at the visualization:
- The trainstation data frame contains the locations of train depots such as the Mandai Depot and the Ulu Pandan Depot, which are not accessible to commuters.
- The trainstation data frame contains the locations of train stations which are not in operation such as the Bukit Brown MRT Station and the Mount Pleasant MRT Station, and, therefore, are not accessible to commuters and have no exit.
It is possible to resolve both of these issues by only retaining the train stations which are listed in the trainexit data frame using the %in% argument and filter().
trainstation <- trainstation %>%
filter(trainstation$STN_NAM_DE %in% trainexit$stn_name)Eighteen stations have been removed from the trainstation dataset, the visualization can be recreated to confirm whether only commuter-accessible train station remains.
tmap_options(check.and.fix = TRUE)
tmap_mode('view')
tm_shape(mpsz)+
tm_polygons(alpha = 0.5)+
tm_shape(trainstation)+
tm_fill(col = 'blue',
id = 'STN_NAM_DE')+
tm_shape(trainexit)+
tm_dots(col = 'red',
id = 'exit_code')+
tm_view(set.zoom.limits = c(11,16))+
tm_layout(title = 'Singapore Train Station and Exits',
title.position = c('right','top'))tmap_mode('plot')Importing Aspatial Data
Passenger
The read_csv() function of readr can be used to import the origin_destination_bus_202309 CSV file into the R environment as a data frame.
passenger <- read_csv('data/aspatial/origin_destination_bus_202309.csv')From the message provided by R, it can be seen that the passenger has 5,714,196 rows and 7 columns.
head() can be used instead of glimpse() to view the top five rows of the passenger data frame. This will also allow us to see the data type of each of the column.
head(passenger)# A tibble: 6 × 7
YEAR_MONTH DAY_TYPE TIME_PER_HOUR PT_TYPE ORIGIN_PT_CODE DESTINATION_PT_CODE
<chr> <chr> <dbl> <chr> <chr> <chr>
1 2023-09 WEEKENDS/… 17 BUS 24499 22221
2 2023-09 WEEKENDS/… 10 BUS 65239 65159
3 2023-09 WEEKDAY 10 BUS 65239 65159
4 2023-09 WEEKDAY 7 BUS 23519 23311
5 2023-09 WEEKENDS/… 7 BUS 23519 23311
6 2023-09 WEEKENDS/… 11 BUS 52509 42041
# ℹ 1 more variable: TOTAL_TRIPS <dbl>Note that the ORIGIN_PT_CODE and DESTINATION_PT_CODE are in the character (“chr”) data type. However, we would like it to be in the factor (“fctr”) data type for easier categorization and sorting. This can be done by using the as.factor() function.
passenger$ORIGIN_PT_CODE <- as.factor(passenger$ORIGIN_PT_CODE)
passenger$DESTINATION_PT_CODE <- as.factor(passenger$DESTINATION_PT_CODE)We can use head() to check the data type of the passenger data frame.
head(passenger)# A tibble: 6 × 7
YEAR_MONTH DAY_TYPE TIME_PER_HOUR PT_TYPE ORIGIN_PT_CODE DESTINATION_PT_CODE
<chr> <chr> <dbl> <chr> <fct> <fct>
1 2023-09 WEEKENDS/… 17 BUS 24499 22221
2 2023-09 WEEKENDS/… 10 BUS 65239 65159
3 2023-09 WEEKDAY 10 BUS 65239 65159
4 2023-09 WEEKDAY 7 BUS 23519 23311
5 2023-09 WEEKENDS/… 7 BUS 23519 23311
6 2023-09 WEEKENDS/… 11 BUS 52509 42041
# ℹ 1 more variable: TOTAL_TRIPS <dbl>Housing Development Board (HDB)
Similarly, the hdb.csv data can be imported using similar methods
hdb <- read_csv('data/aspatial/hdb.csv')
head(hdb)# A tibble: 6 × 37
...1 blk_no street max_floor_lvl year_completed residential commercial
<dbl> <chr> <chr> <dbl> <dbl> <chr> <chr>
1 0 1 BEACH RD 16 1970 Y Y
2 1 1 BEDOK STH AV… 14 1975 Y N
3 2 1 CANTONMENT RD 2 2010 N Y
4 3 1 CHAI CHEE RD 15 1982 Y N
5 4 1 CHANGI VILLA… 4 1975 Y Y
6 5 1 DELTA AVE 25 1982 Y N
# ℹ 30 more variables: market_hawker <chr>, miscellaneous <chr>,
# multistorey_carpark <chr>, precinct_pavilion <chr>,
# bldg_contract_town <chr>, total_dwelling_units <dbl>, `1room_sold` <dbl>,
# `2room_sold` <dbl>, `3room_sold` <dbl>, `4room_sold` <dbl>,
# `5room_sold` <dbl>, exec_sold <dbl>, multigen_sold <dbl>,
# studio_apartment_sold <dbl>, `1room_rental` <dbl>, `2room_rental` <dbl>,
# `3room_rental` <dbl>, other_room_rental <dbl>, lat <dbl>, lng <dbl>, …As can be seen, the block number, street name, year completed, and many other types of information are included in the hdb data frame for each hdb block.
Unlike passenger, however, the hdb csv file has a column which indicates the longitude and latitude of the each HDB block. This means that it can be visualized using tm_shape().
hdb_sf <- hdb %>%
st_as_sf(coords = c('lng','lat'),
crs = 4326) %>%
st_transform(3414)
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(hdb_sf)+
tm_dots(col = 'red')+
tm_layout(main.title = 'Singapore HDB Apartment Buildings',
main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)+
tm_credits('Sourrce: HDB Property Information from data.gov.sg',
position = c('left','bottom'))
It can be see that the HDB apartment buildings in Singapore are highly clustered together. This is because HDB buildings are often built into entire neighborhoods to allow for better planning of amenities, transit options, and other government services. This high population concentration potentially allows the capacity of HDB buildings to be a propulsive factors.
Data Preparation
Wrangling Aspatial Data
Filtering the passenger Data Set for Desired Time Frames
For the purpose of this study, the passenger data set needs to be filtered to only contain trips falling within one of the desired time frame: Weekend/Holiday Morning Peak 11am - 2pm (11:00 - 14:00).
This can be accomplished using the filter() function and the dplyr pipe (%>%).
passenger<- passenger %>% filter(DAY_TYPE == 'WEEKENDS/HOLIDAY') %>% filter(TIME_PER_HOUR >= 11 & TIME_PER_HOUR <= 14) Additionally, the passenger data set should also be filtered for those bus stops which have been filtered out of the busstop data frame due to them being in Malaysia.
Warning
This step is a limitation of this study as there would be major transit flow between Singapore and Johor Bahru during the weekend and holiday. However, as there is no information on the attractiveness of Malaysia (number of retail locations, F&B, etc.), it is not appropriate to include them in this analysis.
passenger <- passenger %>%
filter(!(ORIGIN_PT_CODE %in% c('46609','47701', '46211', '46219', '46239'))) %>%
filter(!(DESTINATION_PT_CODE %in% c('46609','47701', '46211', '46219', '46239')))Tallying Number of Trips by Origin and Destination Bus Stops
After the different trips have been categorized into their separate data frames, the total number trips for each origin bus stop can be tallied into a single statistic for the study period. This can be accomplished using the summarize() function.
Note
The group_by() function is used to instruct R to conduct operations based on the groups created by group_by(). In this case, the summary operations will be done based on the origin bus stop codes.
passenger_tallied <- passenger %>%
group_by(ORIGIN_PT_CODE, DESTINATION_PT_CODE) %>%
summarise(TRIPS = sum(TOTAL_TRIPS))
passenger_tallied# A tibble: 227,837 × 3
# Groups: ORIGIN_PT_CODE [5,012]
ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
<fct> <fct> <dbl>
1 01012 01112 250
2 01012 01113 175
3 01012 01121 128
4 01012 01211 140
5 01012 01311 266
6 01012 01411 2
7 01012 01421 2
8 01012 01549 10
9 01012 01559 1
10 01012 07371 19
# ℹ 227,827 more rowsIt is possible to visualize the distribution of trips by using creating a histogram using the geom_histogram() of the ggplot2 package.
ggplot(passenger_tallied, aes(x=TRIPS))+
geom_histogram()+
theme_classic()+
ggtitle('Distribution of Bus Trips by Origin-Destination Bus Stops')
Let’s confirm the distribution by checking the descriptive statistics of the number of trips based on the origin and destination bus stop. This can be done using the summary() function.
summary(passenger_tallied$TRIPS) Min. 1st Qu. Median Mean 3rd Qu. Max.
1.00 2.00 7.00 37.08 22.00 17107.00 It can be seen that the distribution of trip is heavily skewed with large outliers. Many flows (origin-destination pair) have very few trips, while some outlier flows have a very large number of trips. This is an indication that there might be spatial autocorrelation, that the number of trips depend on the location of the bus stops. However, there might also be spatial interaction, with certain propulsive and attractiveness factors influencing the number of trips between the origin and destination.
Wrangling Geospatial Data
In order to adequately visualize the busstop sf data frame, we need to define a mapping layer. An example of a mapping layer would be to use the Master Plan 2019 Planning Sub-zone created by the Urban Redevelopment Authority (URA). However, for the purpose of this study, a hexagon layer will be used to ensure standardization of the size of each polygon and the evenly spaced gaps between a polygon and its neighbors.
The steps in this section will detail the creation of the hexagon layer using the busstop data frame and visualize the layer on a map of Singapore.
Creating a Hexagon Layer in R
The steps taken in this section is based on the guide provided by Kenneth Wong of Urban Data Palette (link).
Firstly, a hexagon or honeycomb grid can be created based on the busstop data frame using the st_make_grid() function.
Note
There are some notable arguments in the st_make_grid() function:
cellsize = c(750,750): This argument indicates the size of each hexagon, calculated as the distance between opposite edges. If the cell size is large, each hexagon can encompasses multiple bus stops, whereas if a smaller cell size can help us differentiate between individual bus stop. However, a smaller cell size with many hexagons will take more time to create. For this study, hexagons of 375m (this distance is the perpendicular distance between the centre of the hexagon and its edges) will be created with the parameter of 750.
what = ‘polygons’: We would like to create polygons on a grid.
square = FALSE: The default argument is TRUE, which would create a square grid. FALSE is specified in order to create a hexagon grid.
area_honeycomb_grid = st_make_grid(busstop, cellsize = c(750,750), what = 'polygons', square = FALSE)
area_honeycomb_gridGeometry set for 2299 features
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 3220.122 ymin: 26049.09 xmax: 48970.12 ymax: 50947.32
Projected CRS: SVY21 / Singapore TM
First 5 geometries:The area_honeycomb_grid contains 136906 features of the same Projected CRS as the busstop data frame. If the plot() function is used, the hexagon grid will be displayed. It will show a large hexagon grid overlaid over the map of Singapore.
tmap_mode('plot')
tm_shape(mpsz)+
tm_polygons()+
tm_shape(area_honeycomb_grid)+
tm_polygons()+
tm_layout(main.title = 'Full Hexagon Grid over Singapore',
main.title.position = 'center')
The area_honey_comb needs to be converted to a sf data frame for further manipulation using st_sf(). Additionally, we can assign a unique id to each of the hexagon cell in area_honey_comb using mutate().
honeycomb_grid_sf = st_sf(area_honeycomb_grid) %>%
# add grid ID
mutate(grid_id = 1:length(lengths(area_honeycomb_grid)))Following this, we can use lengths() and st_intersect() to determine the allocation of bus stop in each cell. The goal is to create a new column, consisting of the number of bus stop in each of the cell. The filter() function can then be added to remove all cells with no bus stop and create the final sf data frame.
# Counting the number of bus stop in each cell
honeycomb_grid_sf$n_busstop = lengths(st_intersects(honeycomb_grid_sf,busstop))
# Removing all cells without bus stop
honeycomb_count = filter(honeycomb_grid_sf, n_busstop > 0)
honeycomb_count$grid_id <- as.character(honeycomb_count$grid_id)We can see that there are 1050 hexagon cells in honeycomb_count, indicating that there are 1050 cells with at least 1 bus stops.
At this point, the hexagon grid of bus stop can be drawn onto a map of Singapore using the functions of the tmap package. Additionally, the n_busstop column can be passed to the tm_fill() function to shade the cell based on the number of bus stops in it.
tmap_mode('plot')
bushexmap <- tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(honeycomb_count)+
tm_fill(
col = "n_busstop",
palette = "Blues",
style = "cont",
title = "Number of bus stop",
id = "grid_id",
showNA = FALSE,
alpha = 0.7,
popup.vars = c(
"Number of bus stop: " = "n_busstop"
),
popup.format = list(
n_busstop = list(format = "f", digits = 0)
)
) +
tm_borders(col = "grey40", lwd = 0.7)+
tm_layout(main.title = 'Distribution of Bus Stops by Hexagon Cells on Map', main.title.position = 'center')+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
bushexmap
From the illustration, we can see that each cell might contain up to 14 bus stops. A bar chat can be drawn with the ggplot2 package to visualize the distribution of number of bus stop in each cell.
ggplot(honeycomb_count, aes(x=n_busstop))+
geom_bar()+ theme_classic()+
geom_text(aes(label = after_stat(count)), stat = "count", vjust = -0.5, colour = "black")+
ggtitle('Distribution of Bus Stops by Hexagon Cells as Histogram')
As can be seen, the majority of cells contain 1-9 bus stops with only 178 cells containing 10 or more bus stops. This shows that the cells adequately capture solitary bus stop, as well as pairs of bus stops (bus stops which are opposite each other, served by the same bus services).
Combining Aspatial and Geospatial Data
In order to conduct geospatial analysis, a data frame which contains the hexagon cells as well as the number of bus trips for each cells must be created. This must be done in multiple steps
Combining the Origin - Destination Bus Stop Data Frame with Bus Stop Geometry Data Frame
This can be done using the inner_join() function, which will keep all the rows that is in both data frame. By using this argument, it is possible to retain only bus stops which are present in both data frames, eliminating any bus stops which might be present in one but not the other. By
Note
There are important arguments which can be used to create a cleaner combined data frame.
by = join_by(ORIGIN_PT_CODE == BUS_STOP_N)): Indicate the column by which the two data frames can be matched and joined. In this case, the origin bus stop code will be used.
by = join_by(DESTINATION_PT_CODE == BUS_STOP_N)): Indicate the column by which the two data frames can be matched and joined. In this case, the destination bus stop code will be used.
select(1,2,3,6): Indicate the index number of the columns to be kept in the final data frame. Only the bus stop number (column 1), destination bus stop (column 2), total number of trips (column 3), and geometry (column 6) will be kept.
replace(is.na(.),0): Replace all value of NA with 0. This is to ensure that bus stop with no trips in a given time frame is accurately tallied at 0.
orig <- inner_join(passenger_tallied, busstop,
by = join_by(ORIGIN_PT_CODE == BUS_STOP_N)) %>%
select(1,2,3,6)%>%
st_as_sf()
destin <- inner_join(passenger_tallied, busstop,
by = join_by(DESTINATION_PT_CODE == BUS_STOP_N)) %>%
select(1,2,3,6) %>%
st_as_sf()Now, there are two separate data frames, one with the point geometry of the origin bus stop, and one with the point geometry of the destination bus stop. However, since the analysis layer consists of different polygons with unique grid_id. It is necessary to aggregate the number of trips to their origin and destination hexagon cells.
This can be performed in multiple steps.
Identifying the Origin and Destination Hexagon Cells’ Grid ID
In order to aggregate the origin and destination bus stops into their hexagon cells, st_join() can be used respectively for each data frame.
Note
The by argument in st_join() can be passed the function st_within to specify that we would like to join the two data frames where the geometry in the latter is within the geometry of the former. In this case, it would mean that two rows will be joined where the bus stop lies within a particular polygon.
st_drop_geometry() is being used to drop the spatial feature of each data frame, this would allow for the combination of the two data frames later using a regular join function.
orig_hex <- st_join(honeycomb_count, orig, by = st_within)%>%
select(1,3,4,5,6) %>%
filter(grid_id != 50) %>%
rename(ORIG_ID = grid_id,
ORIG_GEOM = area_honeycomb_grid) %>%
st_drop_geometry()%>%
na.omit()
destin_hex <- st_join(honeycomb_count, destin, by = st_within)%>%
select(1,3,4,5,6) %>%
filter(grid_id != 50) %>%
rename(DESTIN_ID = grid_id,
DESTIN_GEOM = area_honeycomb_grid) %>%
st_drop_geometry() %>%
na.omit()Now that there are two data frames, each almost identical to the other with the exception of a column containing the grid id of the origin and destination bus stop respectively. Let’s take a look using head().
head(orig_hex) ORIG_ID ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
2 40 25751 24719 32
2.1 40 25751 25429 1
2.2 40 25751 25709 2
2.3 40 25751 25771 3
3 42 26369 24009 21
3.1 42 26369 24049 1head(destin_hex) DESTIN_ID ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
2 40 25421 25751 3
2.1 40 25681 25751 1
2.2 40 25691 25751 13
2.3 40 25701 25751 7
2.4 40 25711 25751 1
3 42 24009 26369 73Creating a Origin - Destination Hexagon Cells’ Grid ID Data Frame
The next step is to create a combined data frame which has both the origin and destination hexagon cell grid id and tally the total number of trips for each pair. This can be done using inner_join() and summarise().
combined_hex <- inner_join(orig_hex, destin_hex, by = join_by (ORIGIN_PT_CODE == ORIGIN_PT_CODE,DESTINATION_PT_CODE == DESTINATION_PT_CODE)) %>%
select(ORIG_ID, DESTIN_ID, TRIPS.x) %>%
group_by(ORIG_ID, DESTIN_ID) %>%
summarise(TOTAL_TRIP = sum(TRIPS.x))
head(combined_hex)# A tibble: 6 × 3
# Groups: ORIG_ID [2]
ORIG_ID DESTIN_ID TOTAL_TRIP
<chr> <chr> <dbl>
1 100 101 4
2 100 119 2
3 100 122 108
4 100 141 52
5 100 368 48
6 1001 1002 12Next, it is possible to check for duplicate record and proceed to remove them.
duplicate <- combined_hex %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()
combined_hex <- unique(combined_hex)
head(combined_hex)# A tibble: 6 × 3
# Groups: ORIG_ID [2]
ORIG_ID DESTIN_ID TOTAL_TRIP
<chr> <chr> <dbl>
1 100 101 4
2 100 119 2
3 100 122 108
4 100 141 52
5 100 368 48
6 1001 1002 12Before moving on, it is important to check if there are any intra-zonal trips in the data frame. This is because these trips will not be included in the spatial interaction model and should be filtered out.
combined_hex %>%
filter(ORIG_ID == DESTIN_ID)# A tibble: 582 × 3
# Groups: ORIG_ID [582]
ORIG_ID DESTIN_ID TOTAL_TRIP
<chr> <chr> <dbl>
1 1004 1004 6071
2 101 101 4
3 1010 1010 6
4 1011 1011 15
5 1013 1013 205
6 1014 1014 47
7 1023 1023 110
8 1024 1024 520
9 1025 1025 7
10 1028 1028 7
# ℹ 572 more rowsAs can be seen, there are 582 intra-zonal trip pair. filter() can be used to remove them.
combined_hex <- combined_hex %>%
filter(!(ORIG_ID == DESTIN_ID))Creating a Origin-Destination Matrix
Aside from having the total number of trips between each origin and destination hexagon, an origin-destination matrix (O-D Matrix) is also required. This matrix will display the geographical distance between the centroid of each hexagon cell in the grid. To create a OD-Matrix will require multiple steps.
First, the hexagon cells object (honeycomb_count should be stored as a SpatialPolygonDataFrame object.
honeycomb_count_filtered <- honeycomb_count %>%
select(1,2)
honeycomb_count_filtered <- as(honeycomb_count_filtered, 'Spatial')Next, the distance between each hexagon cell can be calculated using the spDists() function of the sp package.
dists <- sp::spDists(honeycomb_count_filtered, longlat = FALSE)
dists[1:5,1:5] [,1] [,2] [,3] [,4] [,5]
[1,] 0.000 750.000 3269.174 1500.000 2704.163
[2,] 750.000 0.000 2598.076 750.000 1984.313
[3,] 3269.174 2598.076 0.000 1984.313 750.000
[4,] 1500.000 750.000 1984.313 0.000 1299.038
[5,] 2704.163 1984.313 750.000 1299.038 0.000As can be seen, the dists matrix consists of the distance between each hexagon cell. For example, the hexagon cell in position 2 is 750 distance unit away from the hexagon cell in position 1. However, this would not be conducive to analysis and it would be preferable to store the column and row ids as the grid ID of the hexagon cells.
grid_id <- honeycomb_count$grid_id
colnames(dists) <- paste0(grid_id)
rownames(dists) <- paste0(grid_id)
dists[1:5,1:5] 21 40 42 60 61
21 0.000 750.000 3269.174 1500.000 2704.163
40 750.000 0.000 2598.076 750.000 1984.313
42 3269.174 2598.076 0.000 1984.313 750.000
60 1500.000 750.000 1984.313 0.000 1299.038
61 2704.163 1984.313 750.000 1299.038 0.000It is possible to see now the distance between each hexagon cell using their cell id. As the matrix is a in the wide format, melt() of the reshaper package can be used to transform it into the long format for easier analysis.
distPair <- melt(dists) %>%
rename(dists = value)
distPair <- distPair %>%
rename(ORIG_ID = Var1, DESTIN_ID = Var2)
head(distPair) ORIG_ID DESTIN_ID dists
1 21 21 0.000
2 40 21 750.000
3 42 21 3269.174
4 60 21 1500.000
5 61 21 2704.163
6 62 21 3968.627Lastly, what to do with intra-zonal travel must be decided. For example, as can be seen above, the travel distance between grid_id 21 and 21 is 0. As the model will not be calibrated to handle intra-zonal trips, they will be excluded from the final data frame. For now, it is possible to filter them out of the origin-destination matrix using filter().
distPair <- distPair %>%
filter(!(dists == 0))
head(distPair) ORIG_ID DESTIN_ID dists
1 40 21 750.000
2 42 21 3269.174
3 60 21 1500.000
4 61 21 2704.163
5 62 21 3968.627
6 78 21 1299.038Preparing Final Data Frame for Spatial Interaction Modelling
Tabulating Features
In order to define the propulsive and attractive factors of the origin and destination cells, it is important to tabulate the number of different features/venues in the different cells in the aggregate level. For example, the aggregate number of Retail locations in a cell must be tabulated. The tabulation will be appended to the honeycomb_count data frame in order to have the count for each grid id, before joining it to other data frame later on. This can be accomplished using st_intersects() and lengths().
flow_data <- honeycomb_count %>%
rename(geometry = area_honeycomb_grid)
flow_data$Entertainment <- lengths(st_intersects(flow_data, Entertainment))
flow_data$FoodBev <- lengths(st_intersects(flow_data, FoodBev))
flow_data$Retails <- lengths(st_intersects(flow_data, Retails))
flow_data$FinServ <- lengths(st_intersects(flow_data, FinServ))
flow_data$Leisure <- lengths(st_intersects(flow_data, Leisure))In order to add information from our HDB files, we require an extra level of tabulation as the different HDB blocks can accommodate different number of people. Therefore, the number of people in each HDB block is better approximated through the number of dwelling units and the capacity. The capacity is based on the following link:
1room_sold: 1 person
2room_sold: 2 people
3room_sold: 3 people (2 parents and 1 child)
4room_sold: 4 people (2 parents and 2 children)
5room_sold: 5 people (2 parents and 3 children)
exec_sold: 4 people (2 parents and 2 children)
multigen_sold: 6 people (2 grandparents, 2 parents, and 2 children)
studio_apartment_sold: 1 person
1room_rental: 1 person
2room_rental: 2 people
3room_rental: 3 people
other_room_rental: 2 people
A new column should be created in the hdb data frame to store the capacity of each hdb block.
Warning
Two important assumptions are made in tabulating this figure which might not apply for all situations:
- Rentals are not taken into consideration: Renters, such as single professionals, foreign workers, students, etc. might not conform to the traditional family structure.
- Traditional family structure assumed: The nuclear family structure is assumed for each flat type. This might be discordant with reality in certain cases.
hdb_capacity <- hdb_sf %>%
mutate(capacity = `1room_sold`*1 +
`2room_sold` * 2+
`3room_sold` * 3+
`4room_sold` * 4+
`5room_sold` * 5+
`exec_sold` * 4+
`multigen_sold` * 6+
`studio_apartment_sold`*1+
`1room_rental` * 1+
`2room_rental` * 2+
`3room_rental` * 3+
`other_room_rental` * 2) %>%
select(blk_no, geometry, capacity)
hdb_grid <- st_join(honeycomb_count, hdb_capacity, by = st_within)%>%
select(1,4,5)%>%
group_by(grid_id) %>%
summarise(TOTAL_CAPACITY = sum(capacity)) %>%
replace_na(list(TOTAL_CAPACITY = 0))Before the number of train stations is tabulated, it is important to consider how a train station is determined to be within a zone. Due to the polygon nature of train stations, they might stretch beyond two hexagon cells. This can be visualized using tmap.
tmap_mode('view')
tm_shape(honeycomb_count)+
tm_fill(alpha = 0.3)+
tm_borders(alpha = 0.5)+
tm_shape(trainstation)+
tm_fill(col = 'blue',
id = 'STN_NAM_DE')+
tm_shape(trainexit)+
tm_dots(col = 'red',
id = 'exit_code')+
tm_view(set.zoom.limits = c(11,16))+
tm_layout(title = 'Train Station Location and Hexagon Cells', title.position = c('right','top'))Though many examples can be found, one is highlighted in the image below. The One-North MRT station stretches from hexagon cell with grid id 974 to hexagon cell with grid id 992.
It would be more appropriate to consider that both of these cells contain One-North MRT station as practically speaking, residents in both area would have access to it and would use it. The location of exits, albeit important, would not be a good indicator as residents in cells which do not contain a station exit but do contain a train station can walk to the exit located at a negligible distance away, as no train station is sufficiently large to make this an unfeasible option.
The tabulation can be accomplished using st_intersects() and st_lengths().
Warning
A major limitation of this study is the failure to consider train stations which might not be within any hexagon cell but are within a certain proximity of of a cell. For example, in the image below, residents of cell 992 could practically consider walking to Kent Ridge MRT station right below instead of using One-North MRT. By this definition, cell 992 would actually have 2 train stations.
However, due to technical limitations, this study would not include this approach.
flow_data$trainstation <- lengths(st_intersects(flow_data, trainstation))
glimpse(flow_data)Rows: 831
Columns: 9
$ grid_id <chr> "21", "40", "42", "60", "61", "62", "78", "79", "80", "8…
$ n_busstop <int> 1, 1, 2, 1, 4, 1, 1, 1, 4, 2, 1, 3, 2, 5, 2, 1, 1, 5, 3,…
$ geometry <POLYGON [m]> POLYGON ((3970.122 27348.13..., POLYGON ((4345.1…
$ Entertainment <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ FoodBev <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Retails <int> 0, 0, 0, 0, 5, 0, 0, 0, 5, 1, 3, 1, 1, 4, 0, 0, 0, 0, 0,…
$ FinServ <int> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Leisure <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ trainstation <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…Let’s consider the descriptive statistics of the variables using the summary() function.
summary(flow_data) grid_id n_busstop geometry Entertainment
Length:831 Min. : 1.000 POLYGON :831 Min. :0.0000
Class :character 1st Qu.: 3.000 epsg:3414 : 0 1st Qu.:0.0000
Mode :character Median : 6.000 +proj=tmer...: 0 Median :0.0000
Mean : 6.205 Mean :0.1336
3rd Qu.: 9.000 3rd Qu.:0.0000
Max. :19.000 Max. :9.0000
FoodBev Retails FinServ Leisure
Min. : 0.000 Min. : 0.0 Min. : 0.000 Min. : 0.000
1st Qu.: 0.000 1st Qu.: 1.0 1st Qu.: 0.000 1st Qu.: 0.000
Median : 0.000 Median : 8.0 Median : 1.000 Median : 0.000
Mean : 2.212 Mean : 44.2 Mean : 3.936 Mean : 1.312
3rd Qu.: 1.000 3rd Qu.: 37.0 3rd Qu.: 4.000 3rd Qu.: 1.000
Max. :133.000 Max. :1678.0 Max. :139.000 Max. :41.000
trainstation
Min. :0.0000
1st Qu.:0.0000
Median :0.0000
Mean :0.3406
3rd Qu.:1.0000
Max. :6.0000 Visualizing Features Distribution
Let’s visualize the distribution of the different features in each cell.
Note
The style argument of tm_fill is passed with “jenks” in order for tmap to “divides the features into classes whose boundaries are where there are relatively big differences in the data values” (Reference), which allow for better visualization of skewed values with little variation.
tmap_mode('plot')
ent <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'Entertainment',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'Entertainment Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
ent
leis <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'Leisure',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'Leisure Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
leis
fin <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'FinServ',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'Financial Service Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
fin
ret <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'Retails',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'Retails Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
ret
fb <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'FoodBev',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'F&B Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
fb
train <- tm_shape(mpsz)+
tm_polygons(col='white')+
tm_shape(flow_data)+
tm_fill(col = 'trainstation',
style = 'jenks',
palette = 'Reds',
alpha = 0.7)+
tm_borders(alpha = 0.5)+
tm_layout(main.title = 'Train Station Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
train
Even though there are wide variation in the values of the different type of venues, one common feature among the graphs is that the highest concentration tend to be around the Downtown area, also known as the Downtown Core, of Singapore. Potentially, this might be a major attractive feature for the downtown flow of visitors. This can be determined when the Spatial Interaction Model is created.
Removing Zero Values
It is important to note that there are many zeroes in the data set, which would not be appropriate for the creation of a spatial interaction mode as a log function might be applied to reduce the skewness in the distribution of variables. When a log function is applied to a zero value, it would result in a minus infinity value. This can be accomplished using the ifelse() function.
flow_data$Entertainment <- ifelse(flow_data$Entertainment == 0, 0.99, flow_data$Entertainment)
flow_data$FoodBev <- ifelse(flow_data$FoodBev == 0, 0.99, flow_data$FoodBev)
flow_data$Retails <- ifelse(flow_data$Retails == 0, 0.99, flow_data$Retails)
flow_data$FinServ <- ifelse(flow_data$FinServ == 0, 0.99, flow_data$FinServ)
flow_data$Leisure <- ifelse(flow_data$Leisure == 0, 0.99, flow_data$Leisure)
flow_data$trainstation <- ifelse(flow_data$trainstation == 0, 0.99, flow_data$trainstation)
hdb_grid$TOTAL_CAPACITY <- ifelse(hdb_grid$TOTAL_CAPACITY == 0, 0.99, hdb_grid$TOTAL_CAPACITY)Creating and Visualizing Flowline
Before a spatial interaction model is created, let’s create a visualization of the flow lines between the hexagon cells. The width of the flow lines will depend on the number of trips between the hexagon cells. The geometry of the flow line can be created using the od2line() function of the stplanr package.
Note
There are important arguments in od2line:
flow: A data frame represeenting the origin-destination data. The first column should be the same as the first column of the data in the zones dataframe.
zones: The origin and destination of the travels should be passed here.
zone_code: Name of the variable in zones containing the ids of the zones.
flowLine <- od2line(flow = combined_hex,
zones = honeycomb_count,
zone_code = 'grid_id')
head(flowLine)Simple feature collection with 6 features and 3 fields
Geometry type: LINESTRING
Dimension: XY
Bounding box: xmin: 5470.122 ymin: 31678.25 xmax: 23095.12 ymax: 44019.12
Projected CRS: SVY21 / Singapore TM
ORIG_ID DESTIN_ID TOTAL_TRIP geometry
1 100 101 4 LINESTRING (5470.122 31678....
2 100 119 2 LINESTRING (5470.122 31678....
3 100 122 108 LINESTRING (5470.122 31678....
4 100 141 52 LINESTRING (5470.122 31678....
5 100 368 48 LINESTRING (5470.122 31678....
6 1001 1002 12 LINESTRING (23095.12 42720....In the flowLine object, there is a new column which contains the line string geometry connecting the origin and destination hexagon cells. Now, it can be visualized using the tmap package.
Warning
Due to the large number of lines (more than 60,000 entries in flowLine), it is not advisable to visualize all the lines as it will result in large processing time and an incomprehensible graphic. Therefore, only lines representing a large number of trips should be visualized. We can choose to visualize lines representing 750 trips or more.
tmap_mode('plot')
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(honeycomb_count)+
tm_fill(alpha = 0.5)+
tm_borders(col='black')+
flowLine %>%
filter(TOTAL_TRIP >= 750) %>%
tm_shape()+
tm_lines(lwd = 'TOTAL_TRIP',
col = 'red',
style = 'quantile',
palette = 'Reds',
scale = c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha = 0.3)+
tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Quantile', main.title.position = 'center', scale = 0.7)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(honeycomb_count)+
tm_fill(alpha = 0.5)+
tm_borders(col='black')+
flowLine %>%
filter(TOTAL_TRIP >= 750) %>%
tm_shape()+
tm_lines(lwd = 'TOTAL_TRIP',
col = 'red',
style = 'jenks',
palette = 'Reds',
scale = c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha = 0.3)+
tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Jenks', main.title.position = 'center', scale = 0.7)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
tm_shape(mpsz)+
tm_polygons(col = 'white')+
tm_shape(honeycomb_count)+
tm_fill(alpha = 0.5)+
tm_borders(col='black')+
flowLine %>%
filter(TOTAL_TRIP >= 750) %>%
tm_shape()+
tm_lines(lwd = 'TOTAL_TRIP',
col = 'red',
style = 'equal',
palette = 'Reds',
scale = c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha = 0.3)+
tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Equal', main.title.position = 'center', scale = 0.7)+
tm_compass(type='8star',size=2)+
tm_scale_bar()+
tm_grid(alpha = 0.2)
Though there are numerous flow lines on the map, it is possible to identify that there are major clusters on the map where many lines converge and where thicker lines can be found. These usually are the major bus interchanges where many bus stops and starts, and which are located near population centres and shopping malls. There are numerous thinner red lines in the downtown area of Singapore, showing shorter trips on lower intensity lines. The distribution of numerous thin flow lines potentially indicates that commuters in this area are more distributed rather than concentrated in key points, implying diverse options for commuters during the Weekend/Holiday Morning.
It is also interesting to note that despite the different style arguments passed to tm_line(), the plots remain the same.
By creating a Spatial Interaction Model, it would be possible to determine what are the push and pull factors between the different origin and destination cells.
Spatial Interaction Model
Currently, there are three separate data frames, all containing required information for the Spatial Interaction Model. It is important to join them together using inner_join().
Creating the Spatial Interaction Data Frame
The three data frames which require joining are:
- combined_hex: Containing the number of trips between each pair of Origin and Destination hexagon cell grid ID.
- distPair: Containing the distance between each pair of Origin and Destination hexagon cell grid ID.
- flow_data: Containing the number of bus stops, entertainment venues, retail stores, etc. in each hexagon cell based on their grid ID
flow_data_drop_geom <- flow_data %>%
st_drop_geometry()
hdb_grid_drop_geom <- hdb_grid %>%
st_drop_geometry()
distPair$ORIG_ID <- as.character(distPair$ORIG_ID)
distPair$DESTIN_ID <- as.character(distPair$DESTIN_ID)
final_df <- inner_join(combined_hex, distPair,
by = join_by(ORIG_ID == ORIG_ID,
DESTIN_ID == DESTIN_ID))
final_df <- inner_join(final_df, flow_data_drop_geom,
by = join_by(ORIG_ID == grid_id)) %>%
rename(ORIG.Entertainment = Entertainment,
ORIG.FoodBev = FoodBev,
ORIG.Retails = Retails,
ORIG.FinServ = FinServ,
ORIG.Leisure = Leisure,
ORIG.trainstation = trainstation,
ORIG.busstop = n_busstop)
final_df <- inner_join(final_df, hdb_grid_drop_geom,
by = join_by(ORIG_ID == grid_id)) %>%
rename(ORIG.capacity = TOTAL_CAPACITY)
final_df <- inner_join(final_df, flow_data_drop_geom,
by = join_by(DESTIN_ID == grid_id)) %>%
rename(DESTIN.Entertainment = Entertainment,
DESTIN.FoodBev = FoodBev,
DESTIN.Retails = Retails,
DESTIN.FinServ = FinServ,
DESTIN.Leisure = Leisure,
DESTIN.trainstation = trainstation,
DESTIN.busstop = n_busstop)
final_df <- inner_join(final_df, hdb_grid_drop_geom,
by = join_by(DESTIN_ID == grid_id)) %>%
rename(DESTIN.capacity = TOTAL_CAPACITY)
final_df# A tibble: 62,705 × 20
# Groups: ORIG_ID [817]
ORIG_ID DESTIN_ID TOTAL_TRIP dists ORIG.busstop ORIG.Entertainment
<chr> <chr> <dbl> <dbl> <int> <dbl>
1 100 101 4 1299. 2 0.99
2 100 119 2 750. 2 0.99
3 100 122 108 4562. 2 0.99
4 100 141 52 3969. 2 0.99
5 100 368 48 5858. 2 0.99
6 1001 1002 12 1299. 1 0.99
7 1001 1040 8 1500. 1 0.99
8 1001 1097 5 1984. 1 0.99
9 1001 1115 4 2250 1 0.99
10 1001 1152 3 3269. 1 0.99
# ℹ 62,695 more rows
# ℹ 14 more variables: ORIG.FoodBev <dbl>, ORIG.Retails <dbl>,
# ORIG.FinServ <dbl>, ORIG.Leisure <dbl>, ORIG.trainstation <dbl>,
# ORIG.capacity <dbl>, DESTIN.busstop <int>, DESTIN.Entertainment <dbl>,
# DESTIN.FoodBev <dbl>, DESTIN.Retails <dbl>, DESTIN.FinServ <dbl>,
# DESTIN.Leisure <dbl>, DESTIN.trainstation <dbl>, DESTIN.capacity <dbl>Visualizing the Dependent Variable
Let’s plot the distribution of the dependent variable (TOTAL_TRIP) by making a histogram with ggplot2.
ggplot(final_df, aes(x = TOTAL_TRIP))+
geom_histogram()+
theme_classic()+
ggtitle('Distribution of Total Trips by Hexagon Cells as Histogram')
The distribution is highly skewed and does not resemble a bell shape, also known as the normal distribution.
Now, we can visualize the relation between the dependent variable and one of the independent variable (distance between zones) in the Spatial Interaction Mode.
ggplot(final_df,
aes(x = dists,
y = TOTAL_TRIP))+
geom_point()+
geom_smooth(method = lm)+
ggtitle('Relationship between Total Trips and Distance between Hexagon Centroid')
The relationship does not resemble a linear relationship.
However, if we create a scatter plot using the log transformed version of these variables, the relationship will better resemble a linear relationship.
ggplot(final_df,
aes(x = log(dists),
y = log(TOTAL_TRIP)))+
geom_point()+
geom_smooth(method = lm)+
ggtitle('Relationship between Log-transformed Total Trips and Log-transformed Distance between Hexagon Centroid')
Due to the usage of hexagon cells, the distance between the centroids of many cells are fixed, making the scatter plots appear discrete instead of continuous. For example, for all hexagon cells next to each other, the distance between their centroids would always be 750.
R-squared Function
In order to measure how much variation of the trips can be accounted by the model, we will calculate the R-squared value. The R-squared value indicates the amount variation in the dependent variable which is explained by the model.
CalcRSquared <- function(observed,estimated){
r <- cor(observed, estimated)
R2 <- r^2
R2
}Unconstrained Model
glm() can be used to calibrate an unconstrained spatial interaction model. Our explanatory variables are origin number of different venues, destination number of different venues and distance between origin and destination in km (i.e. dists).
uncSIM <- glm(TOTAL_TRIP ~
log(ORIG.trainstation)+
log(ORIG.busstop)+
log(ORIG.capacity)+
log(DESTIN.Entertainment)+
log(DESTIN.Retails)+
log(DESTIN.Leisure)+
log(DESTIN.FinServ)+
log(DESTIN.FoodBev)+
log(DESTIN.trainstation)+
log(DESTIN.busstop)+
log(dists),
family = poisson(link = 'log'),
data = final_df,
na.action = na.exclude)summary(uncSIM)
Call:
glm(formula = TOTAL_TRIP ~ log(ORIG.trainstation) + log(ORIG.busstop) +
log(ORIG.capacity) + log(DESTIN.Entertainment) + log(DESTIN.Retails) +
log(DESTIN.Leisure) + log(DESTIN.FinServ) + log(DESTIN.FoodBev) +
log(DESTIN.trainstation) + log(DESTIN.busstop) + log(dists),
family = poisson(link = "log"), data = final_df, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 13.3297473 0.0040704 3274.822 <2e-16 ***
log(ORIG.trainstation) 0.1702165 0.0011127 152.971 <2e-16 ***
log(ORIG.busstop) 0.5249289 0.0008685 604.379 <2e-16 ***
log(ORIG.capacity) 0.0912538 0.0001166 782.679 <2e-16 ***
log(DESTIN.Entertainment) 0.0260376 0.0012668 20.555 <2e-16 ***
log(DESTIN.Retails) -0.0286914 0.0003824 -75.021 <2e-16 ***
log(DESTIN.Leisure) -0.1520065 0.0006446 -235.826 <2e-16 ***
log(DESTIN.FinServ) 0.5390824 0.0005531 974.652 <2e-16 ***
log(DESTIN.FoodBev) -0.0992549 0.0004645 -213.677 <2e-16 ***
log(DESTIN.trainstation) 0.0114316 0.0012571 9.093 <2e-16 ***
log(DESTIN.busstop) 0.4131771 0.0008193 504.277 <2e-16 ***
log(dists) -1.4529893 0.0004381 -3316.417 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 29522779 on 62704 degrees of freedom
Residual deviance: 12829700 on 62693 degrees of freedom
AIC: 13126825
Number of Fisher Scoring iterations: 6It can be seen that all p-value of each factor is much lower than 0.05, showing that they are all statistically significant. Based on the coefficients value, it is possible to make certain observation. Generally, a positive coefficient value indicates that each increase in the variable would correlate to an increase in the dependent variable. The opposite is true for a negative value, an increase in the variable would result in a decrease in the dependent variable.
However, before looking at the values of the coefficient, a model comparison should be done first in order to identify the most appropriate model. Firstly, let’s consider the R-Squared value
The R-Squared value can be calculated using the function defined earlier.
CalcRSquared(uncSIM$data$TOTAL_TRIP, uncSIM$fitted.values)[1] 0.3363487The R-Squared value indicates that the model can account for roughly 33.63% of the variation in the number of trips between each pair of origin-destination.
Origin Constrained Model
In an Origin Constrained Model, the origin cells will have no parameters as it is assumed to be a known constraint. According to Farmer & Oshan (2017), the Origin Constrained Model is used to “reproduce the observed out flows from each origin and allocate them to the various destinations.”
orcSIM <- glm(TOTAL_TRIP ~
ORIG_ID+
log(DESTIN.Entertainment)+
log(DESTIN.Retails)+
log(DESTIN.Leisure)+
log(DESTIN.FinServ)+
log(DESTIN.FoodBev)+
log(DESTIN.trainstation)+
log(DESTIN.busstop)+
log(dists),
family = poisson(link = 'log'),
data = final_df,
na.action = na.exclude)summary(orcSIM)
Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + log(DESTIN.Entertainment) +
log(DESTIN.Retails) + log(DESTIN.Leisure) + log(DESTIN.FinServ) +
log(DESTIN.FoodBev) + log(DESTIN.trainstation) + log(DESTIN.busstop) +
log(dists), family = poisson(link = "log"), data = final_df,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.3168890 0.0684442 209.176 < 2e-16 ***
ORIG_ID1001 1.6555462 0.0708681 23.361 < 2e-16 ***
ORIG_ID1002 -1.7664764 0.1442311 -12.248 < 2e-16 ***
ORIG_ID1003 -0.7075362 0.0784987 -9.013 < 2e-16 ***
ORIG_ID1004 3.0303828 0.0684312 44.284 < 2e-16 ***
ORIG_ID1005 0.9134868 0.0704231 12.971 < 2e-16 ***
ORIG_ID101 2.7311790 0.0698209 39.117 < 2e-16 ***
ORIG_ID1010 -0.1895099 0.0708263 -2.676 0.007457 **
ORIG_ID1011 -0.9421933 0.0727085 -12.959 < 2e-16 ***
ORIG_ID1012 -1.4632236 0.0769047 -19.026 < 2e-16 ***
ORIG_ID1013 0.1153810 0.0695558 1.659 0.097151 .
ORIG_ID1014 -0.3221054 0.0716167 -4.498 6.87e-06 ***
ORIG_ID102 -2.6311909 0.1870189 -14.069 < 2e-16 ***
ORIG_ID1023 1.5490554 0.0688895 22.486 < 2e-16 ***
ORIG_ID1024 1.5654816 0.0687637 22.766 < 2e-16 ***
ORIG_ID1025 1.7950376 0.0693648 25.878 < 2e-16 ***
ORIG_ID1028 -0.5085290 0.0716416 -7.098 1.26e-12 ***
ORIG_ID1030 -1.3785110 0.0792065 -17.404 < 2e-16 ***
ORIG_ID1031 0.8423268 0.0688394 12.236 < 2e-16 ***
ORIG_ID1033 0.5719681 0.0692806 8.256 < 2e-16 ***
ORIG_ID1040 -0.6527404 0.0919853 -7.096 1.28e-12 ***
ORIG_ID1041 0.2860165 0.0716118 3.994 6.50e-05 ***
ORIG_ID1042 1.6077856 0.0686863 23.408 < 2e-16 ***
ORIG_ID1043 0.7508619 0.0695065 10.803 < 2e-16 ***
ORIG_ID1048 -0.5745602 0.0709568 -8.097 5.62e-16 ***
ORIG_ID1049 0.3920723 0.0690761 5.676 1.38e-08 ***
ORIG_ID1050 1.2665226 0.0686481 18.449 < 2e-16 ***
ORIG_ID1061 1.8542722 0.0687456 26.973 < 2e-16 ***
ORIG_ID1062 2.1005459 0.0686281 30.608 < 2e-16 ***
ORIG_ID1063 0.2012854 0.0711878 2.828 0.004691 **
ORIG_ID1064 -2.3026871 0.2042323 -11.275 < 2e-16 ***
ORIG_ID1066 0.2162717 0.0694895 3.112 0.001856 **
ORIG_ID1067 0.5992739 0.0689655 8.689 < 2e-16 ***
ORIG_ID1068 1.1894613 0.0686653 17.323 < 2e-16 ***
ORIG_ID1069 0.2775611 0.0692063 4.011 6.06e-05 ***
ORIG_ID1071 -0.3686483 0.0711070 -5.184 2.17e-07 ***
ORIG_ID1078 -1.4491693 0.0992693 -14.598 < 2e-16 ***
ORIG_ID1080 1.3216863 0.0690361 19.145 < 2e-16 ***
ORIG_ID1081 1.0928411 0.0691083 15.813 < 2e-16 ***
ORIG_ID1082 0.3850263 0.0711281 5.413 6.19e-08 ***
ORIG_ID1086 0.0864073 0.0695716 1.242 0.214240
ORIG_ID1087 0.6710640 0.0689750 9.729 < 2e-16 ***
ORIG_ID1089 0.7155078 0.0690222 10.366 < 2e-16 ***
ORIG_ID1090 -0.2122702 0.0703139 -3.019 0.002537 **
ORIG_ID1097 0.4100765 0.0784516 5.227 1.72e-07 ***
ORIG_ID1100 1.5058322 0.0688267 21.879 < 2e-16 ***
ORIG_ID1101 -0.6199408 0.0856338 -7.239 4.51e-13 ***
ORIG_ID1102 -0.3209560 0.0771406 -4.161 3.17e-05 ***
ORIG_ID1104 0.9951545 0.0688299 14.458 < 2e-16 ***
ORIG_ID1105 0.7694215 0.0687831 11.186 < 2e-16 ***
ORIG_ID1106 0.4297756 0.0705324 6.093 1.11e-09 ***
ORIG_ID1107 -0.3186017 0.0705572 -4.516 6.32e-06 ***
ORIG_ID1108 0.0126255 0.0698828 0.181 0.856629
ORIG_ID1115 -1.3576567 0.1030806 -13.171 < 2e-16 ***
ORIG_ID1116 0.0601221 0.0851123 0.706 0.479948
ORIG_ID1119 -0.4406724 0.0718899 -6.130 8.80e-10 ***
ORIG_ID1120 0.3063363 0.0712833 4.297 1.73e-05 ***
ORIG_ID1123 -0.2677879 0.0701386 -3.818 0.000135 ***
ORIG_ID1124 0.1764377 0.0693273 2.545 0.010928 *
ORIG_ID1125 0.7496110 0.0687916 10.897 < 2e-16 ***
ORIG_ID1128 0.5886406 0.0691500 8.513 < 2e-16 ***
ORIG_ID1138 0.2243287 0.0702061 3.195 0.001397 **
ORIG_ID1139 1.3182548 0.0691296 19.069 < 2e-16 ***
ORIG_ID1140 0.6315238 0.0706496 8.939 < 2e-16 ***
ORIG_ID1142 -0.3986069 0.0703314 -5.668 1.45e-08 ***
ORIG_ID1143 1.1315078 0.0686525 16.482 < 2e-16 ***
ORIG_ID1144 -0.1792730 0.0701067 -2.557 0.010554 *
ORIG_ID1145 0.0413001 0.0699216 0.591 0.554746
ORIG_ID1146 0.3090754 0.0696093 4.440 8.99e-06 ***
ORIG_ID1147 -0.2044745 0.0720705 -2.837 0.004552 **
ORIG_ID1152 -2.5174874 0.1511805 -16.652 < 2e-16 ***
ORIG_ID1153 0.3385461 0.0710837 4.763 1.91e-06 ***
ORIG_ID1157 1.7460788 0.0687395 25.401 < 2e-16 ***
ORIG_ID1158 0.0916276 0.0709315 1.292 0.196435
ORIG_ID116 2.5301458 0.0741216 34.135 < 2e-16 ***
ORIG_ID1161 1.8943736 0.0685644 27.629 < 2e-16 ***
ORIG_ID1162 0.8530145 0.0687850 12.401 < 2e-16 ***
ORIG_ID1163 1.3805414 0.0685962 20.126 < 2e-16 ***
ORIG_ID1164 0.0643179 0.0699289 0.920 0.357697
ORIG_ID1167 -0.6623948 0.0765403 -8.654 < 2e-16 ***
ORIG_ID117 -1.0761472 0.2042305 -5.269 1.37e-07 ***
ORIG_ID1171 -1.6709257 0.1019195 -16.395 < 2e-16 ***
ORIG_ID1172 0.9774007 0.0696956 14.024 < 2e-16 ***
ORIG_ID1173 0.0275694 0.0719200 0.383 0.701472
ORIG_ID1176 0.3868956 0.0696215 5.557 2.74e-08 ***
ORIG_ID1177 1.1678168 0.0692356 16.867 < 2e-16 ***
ORIG_ID118 -0.2230035 0.0964501 -2.312 0.020771 *
ORIG_ID1180 1.3075111 0.0687054 19.031 < 2e-16 ***
ORIG_ID1181 0.9022741 0.0686728 13.139 < 2e-16 ***
ORIG_ID1183 -1.5917236 0.0781491 -20.368 < 2e-16 ***
ORIG_ID1184 0.6090124 0.0691021 8.813 < 2e-16 ***
ORIG_ID1186 -2.3993952 0.1203216 -19.942 < 2e-16 ***
ORIG_ID119 -0.6296306 0.0899216 -7.002 2.52e-12 ***
ORIG_ID1192 -1.3252403 0.0817164 -16.218 < 2e-16 ***
ORIG_ID1193 -0.5056090 0.0721874 -7.004 2.49e-12 ***
ORIG_ID1194 -1.2199132 0.0762574 -15.997 < 2e-16 ***
ORIG_ID1195 2.0226514 0.0686247 29.474 < 2e-16 ***
ORIG_ID1196 0.4982180 0.0707072 7.046 1.84e-12 ***
ORIG_ID1199 -0.8893757 0.0721058 -12.334 < 2e-16 ***
ORIG_ID120 -1.0176677 0.0991348 -10.265 < 2e-16 ***
ORIG_ID1200 0.8274306 0.0687507 12.035 < 2e-16 ***
ORIG_ID1201 0.7502469 0.0687695 10.910 < 2e-16 ***
ORIG_ID1202 0.1661449 0.0692259 2.400 0.016393 *
ORIG_ID1203 0.3650822 0.0699587 5.219 1.80e-07 ***
ORIG_ID1204 0.1286388 0.0705074 1.824 0.068081 .
ORIG_ID1205 -3.2337248 0.2670948 -12.107 < 2e-16 ***
ORIG_ID1207 -0.3114062 0.0712865 -4.368 1.25e-05 ***
ORIG_ID1208 0.0647906 0.0709126 0.914 0.360891
ORIG_ID1209 0.2719055 0.0708557 3.837 0.000124 ***
ORIG_ID121 -1.1276948 0.0906596 -12.439 < 2e-16 ***
ORIG_ID1210 -1.6729628 0.1335363 -12.528 < 2e-16 ***
ORIG_ID1211 -1.6515023 0.0887627 -18.606 < 2e-16 ***
ORIG_ID1212 -2.5195041 0.1034296 -24.360 < 2e-16 ***
ORIG_ID1213 2.2828477 0.0685374 33.308 < 2e-16 ***
ORIG_ID1214 0.9742606 0.0692496 14.069 < 2e-16 ***
ORIG_ID1218 0.7954301 0.0691150 11.509 < 2e-16 ***
ORIG_ID1219 1.7803857 0.0685281 25.980 < 2e-16 ***
ORIG_ID122 -0.8650666 0.1099107 -7.871 3.53e-15 ***
ORIG_ID1220 0.4937366 0.0688178 7.175 7.25e-13 ***
ORIG_ID1221 1.0429901 0.0687464 15.172 < 2e-16 ***
ORIG_ID1222 -0.1695845 0.0713593 -2.376 0.017478 *
ORIG_ID1225 0.6583049 0.0691505 9.520 < 2e-16 ***
ORIG_ID1226 -0.5676614 0.0716593 -7.922 2.34e-15 ***
ORIG_ID1227 0.3829747 0.0698371 5.484 4.16e-08 ***
ORIG_ID1229 -1.2821247 0.0836942 -15.319 < 2e-16 ***
ORIG_ID1230 0.6545546 0.0694253 9.428 < 2e-16 ***
ORIG_ID1231 0.9552655 0.0690079 13.843 < 2e-16 ***
ORIG_ID1232 0.8811484 0.0691220 12.748 < 2e-16 ***
ORIG_ID1233 1.8622965 0.0688107 27.064 < 2e-16 ***
ORIG_ID1234 -1.5940996 0.1045144 -15.252 < 2e-16 ***
ORIG_ID1238 -0.1955537 0.0694409 -2.816 0.004861 **
ORIG_ID1239 -0.6298363 0.0697840 -9.026 < 2e-16 ***
ORIG_ID1240 1.4170112 0.0685458 20.672 < 2e-16 ***
ORIG_ID1241 0.1547191 0.0699060 2.213 0.026881 *
ORIG_ID1242 -1.1310394 0.0738539 -15.315 < 2e-16 ***
ORIG_ID1243 -1.9480372 0.0850750 -22.898 < 2e-16 ***
ORIG_ID1244 -0.6540953 0.0708556 -9.231 < 2e-16 ***
ORIG_ID1245 0.5690841 0.0696938 8.165 3.20e-16 ***
ORIG_ID1246 -0.1168093 0.0719533 -1.623 0.104503
ORIG_ID1249 -1.5260352 0.0894811 -17.054 < 2e-16 ***
ORIG_ID1250 2.0915438 0.0685322 30.519 < 2e-16 ***
ORIG_ID1251 1.9134520 0.0685732 27.904 < 2e-16 ***
ORIG_ID1252 1.1791037 0.0691657 17.048 < 2e-16 ***
ORIG_ID1253 -0.8082920 0.0777385 -10.398 < 2e-16 ***
ORIG_ID1256 0.2037636 0.0691113 2.948 0.003195 **
ORIG_ID1257 -0.2745498 0.0693096 -3.961 7.46e-05 ***
ORIG_ID1258 0.3618990 0.0689051 5.252 1.50e-07 ***
ORIG_ID1259 0.1938293 0.0691642 2.802 0.005072 **
ORIG_ID1260 -0.1975063 0.0715838 -2.759 0.005796 **
ORIG_ID1261 -1.3288802 0.0732065 -18.152 < 2e-16 ***
ORIG_ID1262 0.9043792 0.0688092 13.143 < 2e-16 ***
ORIG_ID1263 0.5426512 0.0690400 7.860 3.84e-15 ***
ORIG_ID1264 1.1302657 0.0688422 16.418 < 2e-16 ***
ORIG_ID1265 0.8727263 0.0691392 12.623 < 2e-16 ***
ORIG_ID1266 -0.0389991 0.0715314 -0.545 0.585615
ORIG_ID1268 0.6856437 0.0699827 9.797 < 2e-16 ***
ORIG_ID1269 1.4573542 0.0686723 21.222 < 2e-16 ***
ORIG_ID1270 1.7166616 0.0687294 24.977 < 2e-16 ***
ORIG_ID1272 1.5416511 0.0715392 21.550 < 2e-16 ***
ORIG_ID1276 0.6385970 0.0687214 9.293 < 2e-16 ***
ORIG_ID1277 -0.1485686 0.0692690 -2.145 0.031968 *
ORIG_ID1278 1.1406441 0.0685807 16.632 < 2e-16 ***
ORIG_ID1279 0.9011154 0.0687608 13.105 < 2e-16 ***
ORIG_ID1280 0.1132551 0.0691515 1.638 0.101467
ORIG_ID1281 -0.1617894 0.0696649 -2.322 0.020212 *
ORIG_ID1282 0.0324810 0.0695809 0.467 0.640637
ORIG_ID1283 0.5353134 0.0690127 7.757 8.71e-15 ***
ORIG_ID1284 0.9360799 0.0688688 13.592 < 2e-16 ***
ORIG_ID1285 0.4349379 0.0694599 6.262 3.81e-10 ***
ORIG_ID1288 1.1688835 0.0690612 16.925 < 2e-16 ***
ORIG_ID1289 2.1388498 0.0686162 31.171 < 2e-16 ***
ORIG_ID1294 0.4327958 0.0689875 6.274 3.53e-10 ***
ORIG_ID1295 1.6411205 0.0684906 23.961 < 2e-16 ***
ORIG_ID1296 0.7925399 0.0686418 11.546 < 2e-16 ***
ORIG_ID1297 -0.6119602 0.0717966 -8.524 < 2e-16 ***
ORIG_ID1298 1.0960026 0.0686776 15.959 < 2e-16 ***
ORIG_ID1299 0.7031264 0.0687884 10.222 < 2e-16 ***
ORIG_ID1300 -1.5132872 0.0752971 -20.098 < 2e-16 ***
ORIG_ID1301 1.2017936 0.0687153 17.489 < 2e-16 ***
ORIG_ID1302 1.3260409 0.0686060 19.328 < 2e-16 ***
ORIG_ID1303 1.4761527 0.0686537 21.501 < 2e-16 ***
ORIG_ID1304 -1.0072571 0.0750319 -13.424 < 2e-16 ***
ORIG_ID1306 0.6504591 0.0698841 9.308 < 2e-16 ***
ORIG_ID1307 1.7970470 0.0686950 26.160 < 2e-16 ***
ORIG_ID1308 1.2621386 0.0693916 18.189 < 2e-16 ***
ORIG_ID1314 0.1881493 0.0689185 2.730 0.006333 **
ORIG_ID1315 0.3835038 0.0688340 5.571 2.53e-08 ***
ORIG_ID1316 -0.0375910 0.0700546 -0.537 0.591547
ORIG_ID1317 0.0306464 0.0695235 0.441 0.659353
ORIG_ID1318 0.8260511 0.0688095 12.005 < 2e-16 ***
ORIG_ID1319 1.1550353 0.0687008 16.813 < 2e-16 ***
ORIG_ID1320 1.8647915 0.0685175 27.216 < 2e-16 ***
ORIG_ID1321 0.8547717 0.0688263 12.419 < 2e-16 ***
ORIG_ID1322 0.7756013 0.0688819 11.260 < 2e-16 ***
ORIG_ID1323 -0.4762312 0.0719461 -6.619 3.61e-11 ***
ORIG_ID1326 1.8643093 0.0687321 27.124 < 2e-16 ***
ORIG_ID1327 1.5169298 0.0690182 21.979 < 2e-16 ***
ORIG_ID1332 -1.5534659 0.0729468 -21.296 < 2e-16 ***
ORIG_ID1333 -0.4559537 0.0694049 -6.569 5.05e-11 ***
ORIG_ID1334 0.9628500 0.0685759 14.041 < 2e-16 ***
ORIG_ID1335 1.4272535 0.0685586 20.818 < 2e-16 ***
ORIG_ID1336 0.4821709 0.0690408 6.984 2.87e-12 ***
ORIG_ID1337 2.1955205 0.0684443 32.077 < 2e-16 ***
ORIG_ID1338 -0.0208630 0.0693281 -0.301 0.763466
ORIG_ID1339 0.2549968 0.0691602 3.687 0.000227 ***
ORIG_ID1340 2.2826925 0.0684524 33.347 < 2e-16 ***
ORIG_ID1341 -0.6420974 0.0712099 -9.017 < 2e-16 ***
ORIG_ID1342 -0.4907549 0.0729511 -6.727 1.73e-11 ***
ORIG_ID1345 1.4832479 0.0690859 21.470 < 2e-16 ***
ORIG_ID1352 -0.7253563 0.0710596 -10.208 < 2e-16 ***
ORIG_ID1353 0.0672366 0.0689238 0.976 0.329302
ORIG_ID1354 1.4818088 0.0684995 21.632 < 2e-16 ***
ORIG_ID1355 1.1336823 0.0687108 16.499 < 2e-16 ***
ORIG_ID1356 1.0654244 0.0686931 15.510 < 2e-16 ***
ORIG_ID1357 1.2606099 0.0686127 18.373 < 2e-16 ***
ORIG_ID1358 1.1491940 0.0690207 16.650 < 2e-16 ***
ORIG_ID1359 1.3941938 0.0686080 20.321 < 2e-16 ***
ORIG_ID136 2.0142316 0.0736182 27.361 < 2e-16 ***
ORIG_ID1360 0.9385830 0.0688319 13.636 < 2e-16 ***
ORIG_ID1364 -2.8772474 0.1597092 -18.016 < 2e-16 ***
ORIG_ID137 0.0639164 0.1056724 0.605 0.545276
ORIG_ID1370 -6.8579339 1.0023368 -6.842 7.81e-12 ***
ORIG_ID1371 -0.7308826 0.0712807 -10.254 < 2e-16 ***
ORIG_ID1372 0.9214965 0.0686183 13.429 < 2e-16 ***
ORIG_ID1373 0.5898508 0.0688798 8.563 < 2e-16 ***
ORIG_ID1374 0.3809043 0.0691644 5.507 3.65e-08 ***
ORIG_ID1375 1.2263161 0.0689063 17.797 < 2e-16 ***
ORIG_ID1376 0.5588639 0.0689577 8.104 5.30e-16 ***
ORIG_ID1377 -1.2826810 0.0728971 -17.596 < 2e-16 ***
ORIG_ID1378 1.4154440 0.0686256 20.626 < 2e-16 ***
ORIG_ID1379 0.4016238 0.0719001 5.586 2.33e-08 ***
ORIG_ID138 -0.8680820 0.1287544 -6.742 1.56e-11 ***
ORIG_ID1380 0.2012863 0.0706328 2.850 0.004375 **
ORIG_ID1383 -0.4831676 0.0782487 -6.175 6.63e-10 ***
ORIG_ID1389 0.0337047 0.0756020 0.446 0.655729
ORIG_ID139 0.3833059 0.0824109 4.651 3.30e-06 ***
ORIG_ID1390 -0.6943554 0.0720200 -9.641 < 2e-16 ***
ORIG_ID1391 -0.3398401 0.0695690 -4.885 1.03e-06 ***
ORIG_ID1392 0.6430324 0.0687006 9.360 < 2e-16 ***
ORIG_ID1393 0.7147052 0.0687244 10.400 < 2e-16 ***
ORIG_ID1394 0.8628487 0.0687843 12.544 < 2e-16 ***
ORIG_ID1395 1.9675332 0.0688615 28.572 < 2e-16 ***
ORIG_ID1396 -0.5888118 0.0720427 -8.173 3.01e-16 ***
ORIG_ID1397 -0.6220530 0.0761597 -8.168 3.14e-16 ***
ORIG_ID1398 0.6773384 0.0693593 9.766 < 2e-16 ***
ORIG_ID140 0.3369111 0.0731084 4.608 4.06e-06 ***
ORIG_ID1401 -1.4375751 0.0927081 -15.506 < 2e-16 ***
ORIG_ID1408 -1.0265224 0.0858528 -11.957 < 2e-16 ***
ORIG_ID1409 -0.5831416 0.0713817 -8.169 3.10e-16 ***
ORIG_ID141 -2.2944390 0.1199237 -19.132 < 2e-16 ***
ORIG_ID1410 -1.5749393 0.0760345 -20.713 < 2e-16 ***
ORIG_ID1411 1.0070698 0.0686151 14.677 < 2e-16 ***
ORIG_ID1412 1.4008555 0.0685864 20.425 < 2e-16 ***
ORIG_ID1413 1.0760638 0.0689522 15.606 < 2e-16 ***
ORIG_ID1414 -1.3722458 0.0748321 -18.338 < 2e-16 ***
ORIG_ID1415 -0.0501394 0.0694680 -0.722 0.470440
ORIG_ID1416 -0.6245566 0.0711189 -8.782 < 2e-16 ***
ORIG_ID1417 -0.6806423 0.0719081 -9.465 < 2e-16 ***
ORIG_ID1418 -1.0629965 0.0759855 -13.989 < 2e-16 ***
ORIG_ID1419 -1.9428393 0.1211343 -16.039 < 2e-16 ***
ORIG_ID142 -0.5016730 0.0979746 -5.120 3.05e-07 ***
ORIG_ID1420 -1.4916569 0.0967890 -15.411 < 2e-16 ***
ORIG_ID1428 -3.3018516 0.1949580 -16.936 < 2e-16 ***
ORIG_ID1430 -0.3819060 0.0712153 -5.363 8.20e-08 ***
ORIG_ID1431 -1.4445404 0.0724959 -19.926 < 2e-16 ***
ORIG_ID1432 0.9840521 0.0686677 14.331 < 2e-16 ***
ORIG_ID1433 -0.3126828 0.0766540 -4.079 4.52e-05 ***
ORIG_ID1434 -0.3659565 0.0706381 -5.181 2.21e-07 ***
ORIG_ID1435 1.0326378 0.0690094 14.964 < 2e-16 ***
ORIG_ID1436 -0.6665526 0.0713087 -9.347 < 2e-16 ***
ORIG_ID1439 -0.7360676 0.0756180 -9.734 < 2e-16 ***
ORIG_ID1440 -1.6545256 0.0987389 -16.757 < 2e-16 ***
ORIG_ID1448 1.3005643 0.0699296 18.598 < 2e-16 ***
ORIG_ID1449 0.2050231 0.0689887 2.972 0.002960 **
ORIG_ID1450 0.7143151 0.0689474 10.360 < 2e-16 ***
ORIG_ID1451 1.2731736 0.0686660 18.542 < 2e-16 ***
ORIG_ID1452 -0.1571352 0.0695725 -2.259 0.023909 *
ORIG_ID1453 1.0753374 0.0686915 15.655 < 2e-16 ***
ORIG_ID1454 0.7816321 0.0698559 11.189 < 2e-16 ***
ORIG_ID1455 -0.3197008 0.0704292 -4.539 5.64e-06 ***
ORIG_ID1456 1.3630568 0.0688328 19.802 < 2e-16 ***
ORIG_ID1457 1.1478093 0.0691162 16.607 < 2e-16 ***
ORIG_ID1458 -1.3546904 0.0987387 -13.720 < 2e-16 ***
ORIG_ID1468 0.9259109 0.0713303 12.981 < 2e-16 ***
ORIG_ID1469 1.0293368 0.0686464 14.995 < 2e-16 ***
ORIG_ID1470 0.1075790 0.0694749 1.548 0.121512
ORIG_ID1471 0.9954462 0.0688150 14.466 < 2e-16 ***
ORIG_ID1472 2.1918439 0.0684647 32.014 < 2e-16 ***
ORIG_ID1473 -0.0482429 0.0694496 -0.695 0.487277
ORIG_ID1474 1.5729362 0.0686005 22.929 < 2e-16 ***
ORIG_ID1475 0.2307018 0.0698697 3.302 0.000960 ***
ORIG_ID1476 0.5256192 0.0697655 7.534 4.92e-14 ***
ORIG_ID1477 -2.2684877 0.1176767 -19.277 < 2e-16 ***
ORIG_ID1486 -0.9783058 0.0803114 -12.181 < 2e-16 ***
ORIG_ID1487 0.8429049 0.0687202 12.266 < 2e-16 ***
ORIG_ID1488 -0.8917130 0.0726764 -12.270 < 2e-16 ***
ORIG_ID1489 0.4343562 0.0691116 6.285 3.28e-10 ***
ORIG_ID1490 0.0361244 0.0703652 0.513 0.607683
ORIG_ID1491 0.6499414 0.0688615 9.438 < 2e-16 ***
ORIG_ID1492 0.7728581 0.0688444 11.226 < 2e-16 ***
ORIG_ID1493 1.3027022 0.0687021 18.962 < 2e-16 ***
ORIG_ID1494 1.3962510 0.0689538 20.249 < 2e-16 ***
ORIG_ID1506 -2.0380343 0.1149813 -17.725 < 2e-16 ***
ORIG_ID1507 1.2053421 0.0686141 17.567 < 2e-16 ***
ORIG_ID1508 0.1126503 0.0691512 1.629 0.103304
ORIG_ID1509 1.1670700 0.0703914 16.580 < 2e-16 ***
ORIG_ID1510 0.7896279 0.0688420 11.470 < 2e-16 ***
ORIG_ID1512 1.5882690 0.0685918 23.155 < 2e-16 ***
ORIG_ID1513 1.7631221 0.0690528 25.533 < 2e-16 ***
ORIG_ID1514 1.2231423 0.0693073 17.648 < 2e-16 ***
ORIG_ID1524 0.0914587 0.0712796 1.283 0.199458
ORIG_ID1525 0.7803115 0.0688547 11.333 < 2e-16 ***
ORIG_ID1526 0.6382061 0.0688521 9.269 < 2e-16 ***
ORIG_ID1527 0.2584144 0.0696337 3.711 0.000206 ***
ORIG_ID1528 0.0913089 0.0694134 1.315 0.188363
ORIG_ID1529 -0.3897717 0.0704017 -5.536 3.09e-08 ***
ORIG_ID1530 0.0662642 0.0698160 0.949 0.342557
ORIG_ID1531 1.0905476 0.0687815 15.855 < 2e-16 ***
ORIG_ID1532 0.3917836 0.0700998 5.589 2.28e-08 ***
ORIG_ID1544 0.6777268 0.0691089 9.807 < 2e-16 ***
ORIG_ID1545 0.4634294 0.0688682 6.729 1.71e-11 ***
ORIG_ID1546 0.9241380 0.0687409 13.444 < 2e-16 ***
ORIG_ID1547 0.2753113 0.0692100 3.978 6.95e-05 ***
ORIG_ID1548 1.1571240 0.0687658 16.827 < 2e-16 ***
ORIG_ID1549 1.8720598 0.0685607 27.305 < 2e-16 ***
ORIG_ID1550 1.6915290 0.0685404 24.679 < 2e-16 ***
ORIG_ID1551 -0.9684700 0.0721745 -13.418 < 2e-16 ***
ORIG_ID1552 1.7193772 0.0687852 24.996 < 2e-16 ***
ORIG_ID156 0.8756830 0.1077847 8.124 4.50e-16 ***
ORIG_ID1562 -3.1216355 0.2856540 -10.928 < 2e-16 ***
ORIG_ID1563 0.6275427 0.0689559 9.101 < 2e-16 ***
ORIG_ID1564 1.1931373 0.0686233 17.387 < 2e-16 ***
ORIG_ID1565 0.2851760 0.0690572 4.130 3.63e-05 ***
ORIG_ID1566 -1.1698324 0.0745801 -15.686 < 2e-16 ***
ORIG_ID1567 1.0153328 0.0688472 14.748 < 2e-16 ***
ORIG_ID1568 1.2726576 0.0686254 18.545 < 2e-16 ***
ORIG_ID1569 0.8228383 0.0688418 11.953 < 2e-16 ***
ORIG_ID1570 1.1018523 0.0687774 16.021 < 2e-16 ***
ORIG_ID1571 1.9953186 0.0694337 28.737 < 2e-16 ***
ORIG_ID158 -0.8546103 0.1071248 -7.978 1.49e-15 ***
ORIG_ID1582 0.0229646 0.0696332 0.330 0.741556
ORIG_ID1583 1.4286424 0.0685701 20.835 < 2e-16 ***
ORIG_ID1584 0.1161965 0.0691334 1.681 0.092810 .
ORIG_ID1585 -0.4032362 0.0706638 -5.706 1.15e-08 ***
ORIG_ID1587 1.2348650 0.0687004 17.975 < 2e-16 ***
ORIG_ID1588 2.0716504 0.0684928 30.246 < 2e-16 ***
ORIG_ID1589 1.2153622 0.0686866 17.694 < 2e-16 ***
ORIG_ID159 -1.5126920 0.0924614 -16.360 < 2e-16 ***
ORIG_ID1590 0.9759751 0.0689291 14.159 < 2e-16 ***
ORIG_ID1591 -1.7880176 0.0918367 -19.470 < 2e-16 ***
ORIG_ID160 0.6458006 0.0719737 8.973 < 2e-16 ***
ORIG_ID1600 -1.4469951 0.1655338 -8.741 < 2e-16 ***
ORIG_ID1601 0.3420784 0.0690632 4.953 7.30e-07 ***
ORIG_ID1602 1.1888008 0.0689223 17.248 < 2e-16 ***
ORIG_ID1603 -0.3487158 0.0700902 -4.975 6.52e-07 ***
ORIG_ID1604 1.2541878 0.0699081 17.941 < 2e-16 ***
ORIG_ID1606 1.0878238 0.0687412 15.825 < 2e-16 ***
ORIG_ID1607 0.5787309 0.0690034 8.387 < 2e-16 ***
ORIG_ID1608 2.2797806 0.0684852 33.289 < 2e-16 ***
ORIG_ID1609 1.2235732 0.0688193 17.780 < 2e-16 ***
ORIG_ID1610 0.5469834 0.0713550 7.666 1.78e-14 ***
ORIG_ID1620 1.4751738 0.0686440 21.490 < 2e-16 ***
ORIG_ID1621 1.1064233 0.0687479 16.094 < 2e-16 ***
ORIG_ID1622 0.4354812 0.0693264 6.282 3.35e-10 ***
ORIG_ID1623 0.1767913 0.0694881 2.544 0.010953 *
ORIG_ID1624 0.3295232 0.0742293 4.439 9.03e-06 ***
ORIG_ID1625 -1.9666713 0.0882018 -22.297 < 2e-16 ***
ORIG_ID1626 1.2501808 0.0687742 18.178 < 2e-16 ***
ORIG_ID1627 1.2606118 0.0686870 18.353 < 2e-16 ***
ORIG_ID1628 1.2939607 0.0687235 18.828 < 2e-16 ***
ORIG_ID1629 0.5977701 0.0699295 8.548 < 2e-16 ***
ORIG_ID1630 -0.0670494 0.0778306 -0.861 0.388974
ORIG_ID1639 0.6767784 0.0689710 9.813 < 2e-16 ***
ORIG_ID1640 1.6003536 0.0685378 23.350 < 2e-16 ***
ORIG_ID1641 1.0891462 0.0687182 15.849 < 2e-16 ***
ORIG_ID1645 1.0400898 0.0690045 15.073 < 2e-16 ***
ORIG_ID1646 1.1992083 0.0687648 17.439 < 2e-16 ***
ORIG_ID1647 2.2102843 0.0685055 32.264 < 2e-16 ***
ORIG_ID1648 -0.9897124 0.0814378 -12.153 < 2e-16 ***
ORIG_ID1658 1.9499527 0.0685532 28.444 < 2e-16 ***
ORIG_ID1659 0.4551767 0.0690113 6.596 4.23e-11 ***
ORIG_ID1660 0.5304987 0.0689447 7.695 1.42e-14 ***
ORIG_ID1661 -0.1721633 0.0701681 -2.454 0.014144 *
ORIG_ID1663 -1.7523226 0.1117431 -15.682 < 2e-16 ***
ORIG_ID1665 0.5670208 0.0694003 8.170 3.08e-16 ***
ORIG_ID1666 2.1506908 0.0685122 31.391 < 2e-16 ***
ORIG_ID1667 -0.0570634 0.0725636 -0.786 0.431638
ORIG_ID1668 1.9630375 0.0700300 28.031 < 2e-16 ***
ORIG_ID1677 0.6809673 0.0688758 9.887 < 2e-16 ***
ORIG_ID1678 1.0879609 0.0687682 15.821 < 2e-16 ***
ORIG_ID1679 1.1505414 0.0687738 16.729 < 2e-16 ***
ORIG_ID1682 -0.1302991 0.0771968 -1.688 0.091434 .
ORIG_ID1684 1.2926248 0.0702024 18.413 < 2e-16 ***
ORIG_ID1685 1.3150896 0.0688671 19.096 < 2e-16 ***
ORIG_ID1696 0.8902218 0.0690877 12.885 < 2e-16 ***
ORIG_ID1697 -0.8028562 0.0719987 -11.151 < 2e-16 ***
ORIG_ID1698 0.8665596 0.0711970 12.171 < 2e-16 ***
ORIG_ID1699 0.8841799 0.0689049 12.832 < 2e-16 ***
ORIG_ID1702 -1.4067945 0.0948825 -14.827 < 2e-16 ***
ORIG_ID1704 1.3969358 0.0688766 20.282 < 2e-16 ***
ORIG_ID1705 1.1081796 0.0705928 15.698 < 2e-16 ***
ORIG_ID1715 0.9034239 0.0688477 13.122 < 2e-16 ***
ORIG_ID1716 0.2208572 0.0693811 3.183 0.001456 **
ORIG_ID1717 0.5632753 0.0695977 8.093 5.81e-16 ***
ORIG_ID1718 -3.0742754 0.1304595 -23.565 < 2e-16 ***
ORIG_ID1721 -1.3509063 0.1048968 -12.878 < 2e-16 ***
ORIG_ID1723 0.5230862 0.0704748 7.422 1.15e-13 ***
ORIG_ID1734 -1.9712504 0.1075673 -18.326 < 2e-16 ***
ORIG_ID1735 0.2185552 0.0694513 3.147 0.001650 **
ORIG_ID1736 1.2403752 0.0690556 17.962 < 2e-16 ***
ORIG_ID1737 1.0340898 0.0688904 15.011 < 2e-16 ***
ORIG_ID1740 -0.7896115 0.0858015 -9.203 < 2e-16 ***
ORIG_ID1742 0.5913251 0.0704748 8.391 < 2e-16 ***
ORIG_ID1753 0.4633627 0.0692569 6.690 2.22e-11 ***
ORIG_ID1754 1.1920212 0.0687178 17.347 < 2e-16 ***
ORIG_ID1755 1.4337473 0.0687882 20.843 < 2e-16 ***
ORIG_ID1758 -1.4255754 0.0906616 -15.724 < 2e-16 ***
ORIG_ID177 -0.0410987 0.0873089 -0.471 0.637835
ORIG_ID1772 -3.0012612 0.2152687 -13.942 < 2e-16 ***
ORIG_ID1773 0.3139132 0.0695683 4.512 6.41e-06 ***
ORIG_ID1774 2.5999251 0.0684305 37.994 < 2e-16 ***
ORIG_ID1775 0.5309094 0.0695158 7.637 2.22e-14 ***
ORIG_ID1776 1.2465949 0.0688602 18.103 < 2e-16 ***
ORIG_ID1778 -0.9110239 0.0901207 -10.109 < 2e-16 ***
ORIG_ID178 -0.7539758 0.0827475 -9.112 < 2e-16 ***
ORIG_ID179 -1.2037207 0.1424710 -8.449 < 2e-16 ***
ORIG_ID1791 0.3671915 0.0696252 5.274 1.34e-07 ***
ORIG_ID1792 -1.2821141 0.0729171 -17.583 < 2e-16 ***
ORIG_ID1793 0.9382137 0.0688502 13.627 < 2e-16 ***
ORIG_ID1794 0.2420036 0.0707878 3.419 0.000629 ***
ORIG_ID1795 1.3504663 0.0688325 19.620 < 2e-16 ***
ORIG_ID1796 0.2251217 0.0699282 3.219 0.001285 **
ORIG_ID1797 0.5205008 0.0696363 7.475 7.75e-14 ***
ORIG_ID1811 0.6820390 0.0690387 9.879 < 2e-16 ***
ORIG_ID1812 1.2463601 0.0686552 18.154 < 2e-16 ***
ORIG_ID1813 1.1027330 0.0688089 16.026 < 2e-16 ***
ORIG_ID1814 2.0128973 0.0686182 29.335 < 2e-16 ***
ORIG_ID1815 1.3001417 0.0688159 18.893 < 2e-16 ***
ORIG_ID1816 0.7465778 0.0693844 10.760 < 2e-16 ***
ORIG_ID1817 -0.9251207 0.0772267 -11.979 < 2e-16 ***
ORIG_ID1830 1.2849666 0.0689996 18.623 < 2e-16 ***
ORIG_ID1831 1.4657847 0.0686410 21.354 < 2e-16 ***
ORIG_ID1832 1.1202332 0.0687544 16.293 < 2e-16 ***
ORIG_ID1833 0.9538773 0.0688712 13.850 < 2e-16 ***
ORIG_ID1834 -0.3657771 0.0717042 -5.101 3.38e-07 ***
ORIG_ID1835 1.7448727 0.0686984 25.399 < 2e-16 ***
ORIG_ID1849 0.3592469 0.0696096 5.161 2.46e-07 ***
ORIG_ID1850 1.0281200 0.0687947 14.945 < 2e-16 ***
ORIG_ID1851 -1.5766795 0.0973738 -16.192 < 2e-16 ***
ORIG_ID1852 1.6013763 0.0685549 23.359 < 2e-16 ***
ORIG_ID1853 0.8209774 0.0691058 11.880 < 2e-16 ***
ORIG_ID1854 1.0998293 0.0688818 15.967 < 2e-16 ***
ORIG_ID1855 0.1478756 0.0726342 2.036 0.041761 *
ORIG_ID1868 1.0431263 0.0689322 15.133 < 2e-16 ***
ORIG_ID1869 0.1189672 0.0695642 1.710 0.087233 .
ORIG_ID1870 -0.2786662 0.0769826 -3.620 0.000295 ***
ORIG_ID1871 2.7437796 0.0684301 40.096 < 2e-16 ***
ORIG_ID1872 0.8529078 0.0696279 12.250 < 2e-16 ***
ORIG_ID1873 1.1977964 0.0689676 17.368 < 2e-16 ***
ORIG_ID1887 0.1368705 0.0700825 1.953 0.050821 .
ORIG_ID1888 1.2142068 0.0687671 17.657 < 2e-16 ***
ORIG_ID1889 0.5414820 0.0691932 7.826 5.05e-15 ***
ORIG_ID1890 1.0529363 0.0687250 15.321 < 2e-16 ***
ORIG_ID1891 0.5534777 0.0693224 7.984 1.42e-15 ***
ORIG_ID1892 2.3446979 0.0684999 34.229 < 2e-16 ***
ORIG_ID1893 -1.2150578 0.0912335 -13.318 < 2e-16 ***
ORIG_ID1905 -0.3849309 0.0982325 -3.919 8.91e-05 ***
ORIG_ID1906 -0.9892672 0.0733879 -13.480 < 2e-16 ***
ORIG_ID1907 0.2944160 0.0694246 4.241 2.23e-05 ***
ORIG_ID1908 1.2893281 0.0688131 18.737 < 2e-16 ***
ORIG_ID1909 0.9168167 0.0688347 13.319 < 2e-16 ***
ORIG_ID1910 0.1564334 0.0699384 2.237 0.025304 *
ORIG_ID1911 -2.5212745 0.1169763 -21.554 < 2e-16 ***
ORIG_ID1926 0.2053259 0.0705998 2.908 0.003634 **
ORIG_ID1927 -0.2593112 0.0706700 -3.669 0.000243 ***
ORIG_ID1928 1.4753602 0.0686153 21.502 < 2e-16 ***
ORIG_ID1929 1.6105613 0.0687947 23.411 < 2e-16 ***
ORIG_ID1930 0.9737881 0.0689704 14.119 < 2e-16 ***
ORIG_ID1944 0.8362952 0.0700658 11.936 < 2e-16 ***
ORIG_ID1945 -1.2449067 0.0750923 -16.578 < 2e-16 ***
ORIG_ID1946 1.1456477 0.0688655 16.636 < 2e-16 ***
ORIG_ID1947 1.6552257 0.0685885 24.133 < 2e-16 ***
ORIG_ID1948 1.9100314 0.0686206 27.835 < 2e-16 ***
ORIG_ID1949 1.2343661 0.0691276 17.856 < 2e-16 ***
ORIG_ID195 0.0585438 0.0893567 0.655 0.512359
ORIG_ID196 -0.5730212 0.0784088 -7.308 2.71e-13 ***
ORIG_ID1965 0.2917787 0.0695639 4.194 2.74e-05 ***
ORIG_ID1966 0.5045291 0.0698511 7.223 5.09e-13 ***
ORIG_ID1967 0.6491851 0.0690398 9.403 < 2e-16 ***
ORIG_ID1968 1.1226301 0.0690130 16.267 < 2e-16 ***
ORIG_ID197 0.1215079 0.0746003 1.629 0.103358
ORIG_ID1983 0.1630348 0.0713309 2.286 0.022277 *
ORIG_ID1984 -0.1308306 0.0710222 -1.842 0.065459 .
ORIG_ID1985 0.6291667 0.0693560 9.072 < 2e-16 ***
ORIG_ID1986 1.2550298 0.0688418 18.231 < 2e-16 ***
ORIG_ID1987 0.2448528 0.0784989 3.119 0.001813 **
ORIG_ID2002 -0.8352284 0.1067002 -7.828 4.96e-15 ***
ORIG_ID2003 -1.7307955 0.0855523 -20.231 < 2e-16 ***
ORIG_ID2004 0.0485166 0.0745699 0.651 0.515293
ORIG_ID2005 0.7925019 0.0694250 11.415 < 2e-16 ***
ORIG_ID2006 -0.3561147 0.0716961 -4.967 6.80e-07 ***
ORIG_ID2021 -0.7900038 0.0792567 -9.968 < 2e-16 ***
ORIG_ID2022 0.2003151 0.0780923 2.565 0.010314 *
ORIG_ID2023 -0.0453365 0.0722900 -0.627 0.530562
ORIG_ID2024 -1.1637986 0.0772062 -15.074 < 2e-16 ***
ORIG_ID2025 -1.0530084 0.0895444 -11.760 < 2e-16 ***
ORIG_ID2042 -0.7406296 0.0908023 -8.157 3.45e-16 ***
ORIG_ID2043 -0.3917549 0.0767000 -5.108 3.26e-07 ***
ORIG_ID2044 -0.5749257 0.0727982 -7.898 2.84e-15 ***
ORIG_ID2045 -0.6030361 0.0849586 -7.098 1.27e-12 ***
ORIG_ID2061 -0.6831102 0.0934815 -7.307 2.72e-13 ***
ORIG_ID2062 0.0587019 0.0751683 0.781 0.434838
ORIG_ID2063 -0.7862092 0.0757977 -10.372 < 2e-16 ***
ORIG_ID2064 -1.3363238 0.1064901 -12.549 < 2e-16 ***
ORIG_ID2079 1.0878781 0.0703889 15.455 < 2e-16 ***
ORIG_ID2082 -2.5832279 0.1570776 -16.446 < 2e-16 ***
ORIG_ID2083 -0.8798720 0.0775498 -11.346 < 2e-16 ***
ORIG_ID2098 -0.9486353 0.0816435 -11.619 < 2e-16 ***
ORIG_ID2099 1.4014233 0.0694104 20.190 < 2e-16 ***
ORIG_ID2102 1.7645685 0.0690926 25.539 < 2e-16 ***
ORIG_ID2115 2.4630428 0.0702315 35.070 < 2e-16 ***
ORIG_ID2119 1.8831154 0.0690701 27.264 < 2e-16 ***
ORIG_ID2121 0.5912584 0.0706298 8.371 < 2e-16 ***
ORIG_ID2137 1.0591093 0.0707972 14.960 < 2e-16 ***
ORIG_ID2140 -0.5497340 0.0798551 -6.884 5.81e-12 ***
ORIG_ID215 -0.8079359 0.1451439 -5.566 2.60e-08 ***
ORIG_ID2153 -0.4931921 0.0947835 -5.203 1.96e-07 ***
ORIG_ID2158 0.8559713 0.0713696 11.993 < 2e-16 ***
ORIG_ID216 -1.5600484 0.1087022 -14.352 < 2e-16 ***
ORIG_ID217 -1.3111085 0.1760363 -7.448 9.48e-14 ***
ORIG_ID2177 0.6822641 0.0713214 9.566 < 2e-16 ***
ORIG_ID2178 -0.5391205 0.0812405 -6.636 3.22e-11 ***
ORIG_ID2196 0.7983258 0.0801524 9.960 < 2e-16 ***
ORIG_ID2197 0.4137357 0.0733756 5.639 1.71e-08 ***
ORIG_ID2267 0.4379936 0.1052812 4.160 3.18e-05 ***
ORIG_ID233 0.0125411 0.0796936 0.157 0.874956
ORIG_ID234 -1.9694708 0.1080105 -18.234 < 2e-16 ***
ORIG_ID235 -0.4856128 0.0837567 -5.798 6.72e-09 ***
ORIG_ID252 1.5886637 0.0735779 21.592 < 2e-16 ***
ORIG_ID253 -0.1223455 0.0791555 -1.546 0.122193
ORIG_ID254 -0.4083950 0.0806931 -5.061 4.17e-07 ***
ORIG_ID270 -2.2080218 0.2338227 -9.443 < 2e-16 ***
ORIG_ID271 -0.2178325 0.0962310 -2.264 0.023596 *
ORIG_ID272 -1.1858406 0.0875630 -13.543 < 2e-16 ***
ORIG_ID290 0.3183285 0.0833102 3.821 0.000133 ***
ORIG_ID291 0.1855080 0.1134472 1.635 0.102009
ORIG_ID292 -0.4409848 0.0978536 -4.507 6.59e-06 ***
ORIG_ID308 1.3730354 0.0752218 18.253 < 2e-16 ***
ORIG_ID309 -0.3545283 0.0804466 -4.407 1.05e-05 ***
ORIG_ID310 -0.3622852 0.0827184 -4.380 1.19e-05 ***
ORIG_ID329 1.3628466 0.0795559 17.131 < 2e-16 ***
ORIG_ID330 -0.5192555 0.0807592 -6.430 1.28e-10 ***
ORIG_ID347 0.0694181 0.0753199 0.922 0.356714
ORIG_ID348 -0.6479264 0.0874108 -7.412 1.24e-13 ***
ORIG_ID349 -1.5439040 0.1219737 -12.658 < 2e-16 ***
ORIG_ID366 0.7366382 0.0781652 9.424 < 2e-16 ***
ORIG_ID367 0.2847358 0.0819903 3.473 0.000515 ***
ORIG_ID368 1.2876256 0.0690584 18.645 < 2e-16 ***
ORIG_ID369 0.6241198 0.0748110 8.343 < 2e-16 ***
ORIG_ID370 1.2164767 0.0705049 17.254 < 2e-16 ***
ORIG_ID385 -1.5290422 0.1232858 -12.402 < 2e-16 ***
ORIG_ID386 -0.2618703 0.0814987 -3.213 0.001313 **
ORIG_ID387 -0.7399190 0.0761721 -9.714 < 2e-16 ***
ORIG_ID388 0.9941006 0.0727965 13.656 < 2e-16 ***
ORIG_ID389 0.4219454 0.0733138 5.755 8.65e-09 ***
ORIG_ID40 -0.3578863 0.1760369 -2.033 0.042051 *
ORIG_ID404 -0.1773439 0.0895408 -1.981 0.047637 *
ORIG_ID405 -1.5601008 0.1036034 -15.058 < 2e-16 ***
ORIG_ID406 -1.1080071 0.0838913 -13.208 < 2e-16 ***
ORIG_ID407 0.9550755 0.0696926 13.704 < 2e-16 ***
ORIG_ID408 0.5081721 0.0712634 7.131 9.97e-13 ***
ORIG_ID42 -0.3315159 0.0990000 -3.349 0.000812 ***
ORIG_ID424 -0.0996071 0.0763149 -1.305 0.191821
ORIG_ID425 -0.6652161 0.0751110 -8.856 < 2e-16 ***
ORIG_ID426 1.5844461 0.0688535 23.012 < 2e-16 ***
ORIG_ID427 1.5197618 0.0701810 21.655 < 2e-16 ***
ORIG_ID442 0.2268786 0.0966786 2.347 0.018939 *
ORIG_ID443 -3.2640029 0.3091640 -10.558 < 2e-16 ***
ORIG_ID444 0.4022591 0.0715469 5.622 1.88e-08 ***
ORIG_ID445 0.3088307 0.0701682 4.401 1.08e-05 ***
ORIG_ID447 -2.2573295 0.1801422 -12.531 < 2e-16 ***
ORIG_ID448 0.8550930 0.0748728 11.421 < 2e-16 ***
ORIG_ID461 -0.1971557 0.0808413 -2.439 0.014736 *
ORIG_ID462 0.4885420 0.0734714 6.649 2.94e-11 ***
ORIG_ID463 -0.7413537 0.0732540 -10.120 < 2e-16 ***
ORIG_ID464 1.9698781 0.0686398 28.699 < 2e-16 ***
ORIG_ID465 -0.9048855 0.0847677 -10.675 < 2e-16 ***
ORIG_ID466 0.1662840 0.0867802 1.916 0.055346 .
ORIG_ID467 -1.3985805 0.1261317 -11.088 < 2e-16 ***
ORIG_ID480 -0.8170206 0.1060756 -7.702 1.34e-14 ***
ORIG_ID481 0.2052734 0.0753277 2.725 0.006429 **
ORIG_ID482 -0.3917523 0.0740367 -5.291 1.21e-07 ***
ORIG_ID483 1.8256929 0.0686443 26.596 < 2e-16 ***
ORIG_ID484 2.0454664 0.0687055 29.772 < 2e-16 ***
ORIG_ID486 -0.4194362 0.0788888 -5.317 1.06e-07 ***
ORIG_ID487 -1.3609563 0.1399969 -9.721 < 2e-16 ***
ORIG_ID488 -2.5979418 0.3091655 -8.403 < 2e-16 ***
ORIG_ID499 -0.7569050 0.0981000 -7.716 1.20e-14 ***
ORIG_ID500 0.1449927 0.0861024 1.684 0.092190 .
ORIG_ID501 -0.7792099 0.0732554 -10.637 < 2e-16 ***
ORIG_ID502 1.5444932 0.0687380 22.469 < 2e-16 ***
ORIG_ID503 1.0777769 0.0702842 15.335 < 2e-16 ***
ORIG_ID507 -0.0603582 0.0996848 -0.605 0.544853
ORIG_ID508 -0.9496187 0.1451484 -6.542 6.05e-11 ***
ORIG_ID518 -1.6290861 0.1424710 -11.435 < 2e-16 ***
ORIG_ID519 -0.6459236 0.0815673 -7.919 2.40e-15 ***
ORIG_ID520 0.0081747 0.1077886 0.076 0.939546
ORIG_ID521 2.9910808 0.0684266 43.712 < 2e-16 ***
ORIG_ID522 1.2495781 0.0689483 18.123 < 2e-16 ***
ORIG_ID524 -1.9506472 0.1687709 -11.558 < 2e-16 ***
ORIG_ID528 -0.9633519 0.1335351 -7.214 5.42e-13 ***
ORIG_ID529 -0.7978528 0.1052772 -7.579 3.49e-14 ***
ORIG_ID530 -0.4435546 0.0988696 -4.486 7.25e-06 ***
ORIG_ID537 -1.5438923 0.1184045 -13.039 < 2e-16 ***
ORIG_ID538 -0.2177488 0.0817392 -2.664 0.007723 **
ORIG_ID539 -0.2512124 0.0718604 -3.496 0.000473 ***
ORIG_ID540 0.9998616 0.0688601 14.520 < 2e-16 ***
ORIG_ID541 -1.6064591 0.1114702 -14.412 < 2e-16 ***
ORIG_ID547 -1.0653935 0.1534341 -6.944 3.82e-12 ***
ORIG_ID548 -1.3090662 0.1424718 -9.188 < 2e-16 ***
ORIG_ID557 -1.5171835 0.0958027 -15.837 < 2e-16 ***
ORIG_ID558 -0.6424804 0.0779630 -8.241 < 2e-16 ***
ORIG_ID559 -1.1253128 0.0762500 -14.758 < 2e-16 ***
ORIG_ID560 1.6365604 0.0686963 23.823 < 2e-16 ***
ORIG_ID562 -0.2317289 0.0818148 -2.832 0.004621 **
ORIG_ID577 -1.2569569 0.0808884 -15.539 < 2e-16 ***
ORIG_ID578 1.4161961 0.0686854 20.619 < 2e-16 ***
ORIG_ID595 -0.1443116 0.0735000 -1.963 0.049597 *
ORIG_ID596 0.2655179 0.0697958 3.804 0.000142 ***
ORIG_ID597 0.8557924 0.0690621 12.392 < 2e-16 ***
ORIG_ID598 2.2161573 0.0685185 32.344 < 2e-16 ***
ORIG_ID60 0.6875381 0.2286760 3.007 0.002642 **
ORIG_ID600 1.9821869 0.0692882 28.608 < 2e-16 ***
ORIG_ID61 0.4978804 0.0789491 6.306 2.86e-10 ***
ORIG_ID613 0.0697029 0.0747605 0.932 0.351157
ORIG_ID614 -2.0759379 0.0964530 -21.523 < 2e-16 ***
ORIG_ID615 1.7865357 0.0686474 26.025 < 2e-16 ***
ORIG_ID616 1.7871332 0.0686046 26.050 < 2e-16 ***
ORIG_ID617 0.3166967 0.0705645 4.488 7.19e-06 ***
ORIG_ID62 -1.3061878 0.1558229 -8.383 < 2e-16 ***
ORIG_ID633 -0.0382894 0.0727775 -0.526 0.598808
ORIG_ID634 1.0702888 0.0690242 15.506 < 2e-16 ***
ORIG_ID635 0.4580512 0.0695997 6.581 4.67e-11 ***
ORIG_ID636 1.8613236 0.0685848 27.139 < 2e-16 ***
ORIG_ID638 -0.3551031 0.0779610 -4.555 5.24e-06 ***
ORIG_ID654 -0.7119494 0.0725953 -9.807 < 2e-16 ***
ORIG_ID657 -0.8580881 0.0806127 -10.645 < 2e-16 ***
ORIG_ID662 -1.3545284 0.1261306 -10.739 < 2e-16 ***
ORIG_ID671 -0.3655015 0.0742934 -4.920 8.67e-07 ***
ORIG_ID673 -1.0820929 0.0726400 -14.897 < 2e-16 ***
ORIG_ID674 1.2256097 0.0687747 17.821 < 2e-16 ***
ORIG_ID682 0.6412793 0.0809925 7.918 2.42e-15 ***
ORIG_ID689 0.3076143 0.0735705 4.181 2.90e-05 ***
ORIG_ID690 0.8084512 0.0696737 11.603 < 2e-16 ***
ORIG_ID691 -1.7277135 0.0772726 -22.359 < 2e-16 ***
ORIG_ID692 1.8697603 0.0685509 27.276 < 2e-16 ***
ORIG_ID693 0.6460314 0.0701831 9.205 < 2e-16 ***
ORIG_ID695 2.0458497 0.0687379 29.763 < 2e-16 ***
ORIG_ID700 0.5027152 0.0772880 6.504 7.80e-11 ***
ORIG_ID710 -2.0753762 0.0803520 -25.829 < 2e-16 ***
ORIG_ID711 0.8114480 0.0688280 11.790 < 2e-16 ***
ORIG_ID712 0.2301652 0.0693882 3.317 0.000910 ***
ORIG_ID713 0.9087503 0.0697857 13.022 < 2e-16 ***
ORIG_ID714 1.2073376 0.0692048 17.446 < 2e-16 ***
ORIG_ID715 0.0627993 0.0711655 0.882 0.377539
ORIG_ID727 -1.4391425 0.0919867 -15.645 < 2e-16 ***
ORIG_ID728 1.6236671 0.0688198 23.593 < 2e-16 ***
ORIG_ID729 1.7657714 0.0685538 25.757 < 2e-16 ***
ORIG_ID730 0.8695462 0.0688134 12.636 < 2e-16 ***
ORIG_ID731 1.6178503 0.0688262 23.506 < 2e-16 ***
ORIG_ID732 -0.1003130 0.0729648 -1.375 0.169189
ORIG_ID733 1.7564401 0.0686428 25.588 < 2e-16 ***
ORIG_ID734 1.0894092 0.0691890 15.745 < 2e-16 ***
ORIG_ID738 0.0222961 0.0771692 0.289 0.772639
ORIG_ID746 -0.5050957 0.0797306 -6.335 2.37e-10 ***
ORIG_ID748 -1.0385294 0.0720968 -14.405 < 2e-16 ***
ORIG_ID749 1.1099496 0.0687560 16.143 < 2e-16 ***
ORIG_ID750 1.4123088 0.0686645 20.568 < 2e-16 ***
ORIG_ID751 1.2784710 0.0689535 18.541 < 2e-16 ***
ORIG_ID752 0.9956606 0.0692347 14.381 < 2e-16 ***
ORIG_ID753 2.6673903 0.0684694 38.957 < 2e-16 ***
ORIG_ID754 2.4213317 0.0686810 35.255 < 2e-16 ***
ORIG_ID757 -1.2709888 0.1032533 -12.309 < 2e-16 ***
ORIG_ID764 -1.4744939 0.1058755 -13.927 < 2e-16 ***
ORIG_ID766 0.8417599 0.0690580 12.189 < 2e-16 ***
ORIG_ID767 0.7522771 0.0690155 10.900 < 2e-16 ***
ORIG_ID768 0.7108948 0.0689530 10.310 < 2e-16 ***
ORIG_ID769 0.0345517 0.0698452 0.495 0.620820
ORIG_ID770 1.2899985 0.0688440 18.738 < 2e-16 ***
ORIG_ID771 1.3372998 0.0687343 19.456 < 2e-16 ***
ORIG_ID772 0.8730026 0.0691730 12.621 < 2e-16 ***
ORIG_ID773 2.5221452 0.0686907 36.717 < 2e-16 ***
ORIG_ID774 -0.8819090 0.0881981 -9.999 < 2e-16 ***
ORIG_ID775 -1.4578326 0.1058727 -13.770 < 2e-16 ***
ORIG_ID776 0.1489050 0.0754143 1.974 0.048326 *
ORIG_ID78 0.2179459 0.0934334 2.333 0.019667 *
ORIG_ID784 0.2745173 0.0738002 3.720 0.000199 ***
ORIG_ID785 0.0804894 0.0705464 1.141 0.253893
ORIG_ID786 0.0909437 0.0704348 1.291 0.196643
ORIG_ID787 1.1167725 0.0694680 16.076 < 2e-16 ***
ORIG_ID788 2.1232016 0.0685013 30.995 < 2e-16 ***
ORIG_ID789 2.0522370 0.0688230 29.819 < 2e-16 ***
ORIG_ID79 1.1502963 0.1348597 8.530 < 2e-16 ***
ORIG_ID790 -0.5555957 0.0714898 -7.772 7.75e-15 ***
ORIG_ID791 -0.0471343 0.0703171 -0.670 0.502660
ORIG_ID792 0.0168333 0.0704443 0.239 0.811138
ORIG_ID793 -1.9001928 0.1084691 -17.518 < 2e-16 ***
ORIG_ID794 -1.6484174 0.1011372 -16.299 < 2e-16 ***
ORIG_ID795 0.0760816 0.0741176 1.026 0.304657
ORIG_ID80 1.4031932 0.0719195 19.511 < 2e-16 ***
ORIG_ID803 -0.2907201 0.0718413 -4.047 5.19e-05 ***
ORIG_ID804 0.3300796 0.0698058 4.729 2.26e-06 ***
ORIG_ID805 -1.7848128 0.0844810 -21.127 < 2e-16 ***
ORIG_ID806 1.4138056 0.0686699 20.588 < 2e-16 ***
ORIG_ID807 0.4245790 0.0710861 5.973 2.33e-09 ***
ORIG_ID809 1.4052459 0.0686887 20.458 < 2e-16 ***
ORIG_ID81 -2.3843835 0.1760363 -13.545 < 2e-16 ***
ORIG_ID810 -0.8277996 0.0726167 -11.400 < 2e-16 ***
ORIG_ID811 -0.4075510 0.0736232 -5.536 3.10e-08 ***
ORIG_ID812 -1.3796467 0.0879295 -15.690 < 2e-16 ***
ORIG_ID813 -1.2083343 0.0870150 -13.887 < 2e-16 ***
ORIG_ID814 -0.1889056 0.0790751 -2.389 0.016897 *
ORIG_ID82 -0.9194699 0.1271502 -7.231 4.78e-13 ***
ORIG_ID822 0.3947818 0.0729109 5.415 6.14e-08 ***
ORIG_ID823 0.7335720 0.0690551 10.623 < 2e-16 ***
ORIG_ID824 -2.0606200 0.0848463 -24.287 < 2e-16 ***
ORIG_ID825 0.5850091 0.0693986 8.430 < 2e-16 ***
ORIG_ID826 1.3156529 0.0687299 19.142 < 2e-16 ***
ORIG_ID829 1.1442814 0.0688065 16.630 < 2e-16 ***
ORIG_ID831 1.4440853 0.0691732 20.876 < 2e-16 ***
ORIG_ID832 -0.9821387 0.0790443 -12.425 < 2e-16 ***
ORIG_ID833 -0.2143303 0.0731730 -2.929 0.003400 **
ORIG_ID840 0.0754227 0.0714310 1.056 0.291022
ORIG_ID841 0.8768942 0.0689142 12.724 < 2e-16 ***
ORIG_ID842 1.9436180 0.0685137 28.368 < 2e-16 ***
ORIG_ID843 -1.3809768 0.0788480 -17.514 < 2e-16 ***
ORIG_ID844 -0.8740486 0.0792723 -11.026 < 2e-16 ***
ORIG_ID845 0.8153153 0.0692413 11.775 < 2e-16 ***
ORIG_ID846 -1.9611885 0.0818675 -23.956 < 2e-16 ***
ORIG_ID847 2.5610955 0.0684631 37.408 < 2e-16 ***
ORIG_ID850 -3.2331466 0.2966596 -10.899 < 2e-16 ***
ORIG_ID851 2.4314093 0.0686309 35.427 < 2e-16 ***
ORIG_ID852 -1.6897713 0.1146632 -14.737 < 2e-16 ***
ORIG_ID859 0.0364421 0.0707700 0.515 0.606597
ORIG_ID860 2.0350091 0.0686666 29.636 < 2e-16 ***
ORIG_ID861 2.2605928 0.0684815 33.010 < 2e-16 ***
ORIG_ID862 -0.1952467 0.0745834 -2.618 0.008849 **
ORIG_ID863 0.2342004 0.0705155 3.321 0.000896 ***
ORIG_ID864 -1.3664260 0.0752071 -18.169 < 2e-16 ***
ORIG_ID865 1.1909833 0.0688906 17.288 < 2e-16 ***
ORIG_ID866 -0.8300561 0.0717753 -11.565 < 2e-16 ***
ORIG_ID867 1.1707542 0.0689915 16.970 < 2e-16 ***
ORIG_ID869 -0.5957960 0.0909415 -6.551 5.70e-11 ***
ORIG_ID871 -1.2682007 0.0802124 -15.811 < 2e-16 ***
ORIG_ID878 0.5269714 0.0692887 7.605 2.84e-14 ***
ORIG_ID879 1.2194598 0.0686692 17.758 < 2e-16 ***
ORIG_ID880 1.1057492 0.0688387 16.063 < 2e-16 ***
ORIG_ID882 0.4296091 0.0696651 6.167 6.97e-10 ***
ORIG_ID883 -0.2330944 0.0707700 -3.294 0.000989 ***
ORIG_ID884 -0.3793306 0.0711361 -5.332 9.69e-08 ***
ORIG_ID885 1.5117752 0.0686705 22.015 < 2e-16 ***
ORIG_ID886 1.0380256 0.0695215 14.931 < 2e-16 ***
ORIG_ID890 -0.8848436 0.0740136 -11.955 < 2e-16 ***
ORIG_ID891 3.1176120 0.0686560 45.409 < 2e-16 ***
ORIG_ID897 0.5495270 0.0694551 7.912 2.53e-15 ***
ORIG_ID898 0.6817814 0.0691291 9.862 < 2e-16 ***
ORIG_ID899 -0.0479599 0.0697969 -0.687 0.491998
ORIG_ID900 -0.3964755 0.0708100 -5.599 2.15e-08 ***
ORIG_ID901 1.3705458 0.0687752 19.928 < 2e-16 ***
ORIG_ID902 0.2719622 0.0698894 3.891 9.97e-05 ***
ORIG_ID903 -0.7960373 0.0816439 -9.750 < 2e-16 ***
ORIG_ID904 1.6483148 0.0686969 23.994 < 2e-16 ***
ORIG_ID905 1.5562459 0.0689771 22.562 < 2e-16 ***
ORIG_ID907 -0.3691071 0.0809067 -4.562 5.06e-06 ***
ORIG_ID909 2.1098026 0.0686351 30.739 < 2e-16 ***
ORIG_ID910 2.3270915 0.0686085 33.918 < 2e-16 ***
ORIG_ID915 -0.4705889 0.0756801 -6.218 5.03e-10 ***
ORIG_ID916 0.0164493 0.0717598 0.229 0.818692
ORIG_ID917 -0.1937099 0.0706648 -2.741 0.006121 **
ORIG_ID918 -0.2266948 0.0705187 -3.215 0.001306 **
ORIG_ID919 -1.0210149 0.0737552 -13.843 < 2e-16 ***
ORIG_ID920 1.2515576 0.0688486 18.178 < 2e-16 ***
ORIG_ID922 0.6177135 0.0707759 8.728 < 2e-16 ***
ORIG_ID923 2.1936919 0.0687245 31.920 < 2e-16 ***
ORIG_ID927 0.5611474 0.0704966 7.960 1.72e-15 ***
ORIG_ID928 1.7115373 0.0688283 24.867 < 2e-16 ***
ORIG_ID929 -1.3111324 0.0827783 -15.839 < 2e-16 ***
ORIG_ID935 0.1373500 0.0699415 1.964 0.049555 *
ORIG_ID936 0.5565933 0.0692583 8.036 9.25e-16 ***
ORIG_ID937 0.7553796 0.0690584 10.938 < 2e-16 ***
ORIG_ID938 -0.0566928 0.0702213 -0.807 0.419468
ORIG_ID939 0.7580194 0.0690154 10.983 < 2e-16 ***
ORIG_ID945 1.1580568 0.0709512 16.322 < 2e-16 ***
ORIG_ID947 1.6138860 0.0687094 23.489 < 2e-16 ***
ORIG_ID948 1.5690700 0.0688779 22.780 < 2e-16 ***
ORIG_ID953 0.4773903 0.0694199 6.877 6.12e-12 ***
ORIG_ID954 -0.2686068 0.0703718 -3.817 0.000135 ***
ORIG_ID955 0.9319024 0.0689374 13.518 < 2e-16 ***
ORIG_ID956 0.1989455 0.0697553 2.852 0.004344 **
ORIG_ID964 -1.4926202 0.1558245 -9.579 < 2e-16 ***
ORIG_ID966 1.8854796 0.0686567 27.462 < 2e-16 ***
ORIG_ID967 0.9951321 0.0699961 14.217 < 2e-16 ***
ORIG_ID972 0.5428683 0.0695623 7.804 5.99e-15 ***
ORIG_ID973 -1.3314871 0.0755071 -17.634 < 2e-16 ***
ORIG_ID974 -0.3141053 0.0699134 -4.493 7.03e-06 ***
ORIG_ID975 -0.0237348 0.0703463 -0.337 0.735816
ORIG_ID977 0.7221151 0.0691333 10.445 < 2e-16 ***
ORIG_ID983 -1.2904795 0.1232862 -10.467 < 2e-16 ***
ORIG_ID985 1.0979946 0.0692406 15.858 < 2e-16 ***
ORIG_ID986 -0.0926514 0.0714345 -1.297 0.194627
ORIG_ID99 0.6064953 0.1062823 5.706 1.15e-08 ***
ORIG_ID990 -1.4988575 0.1056751 -14.184 < 2e-16 ***
ORIG_ID991 -1.5317646 0.0871645 -17.573 < 2e-16 ***
ORIG_ID992 -0.9573682 0.0817166 -11.716 < 2e-16 ***
ORIG_ID993 1.5071538 0.0686037 21.969 < 2e-16 ***
ORIG_ID994 -0.9426647 0.0745034 -12.653 < 2e-16 ***
ORIG_ID995 0.6596797 0.0691938 9.534 < 2e-16 ***
log(DESTIN.Entertainment) -0.0235908 0.0013102 -18.005 < 2e-16 ***
log(DESTIN.Retails) 0.0065815 0.0004094 16.076 < 2e-16 ***
log(DESTIN.Leisure) -0.1002499 0.0006659 -150.554 < 2e-16 ***
log(DESTIN.FinServ) 0.5493402 0.0005689 965.636 < 2e-16 ***
log(DESTIN.FoodBev) -0.0844284 0.0004861 -173.679 < 2e-16 ***
log(DESTIN.trainstation) 0.0762556 0.0013395 56.930 < 2e-16 ***
log(DESTIN.busstop) 0.3889504 0.0008376 464.351 < 2e-16 ***
log(dists) -1.5089444 0.0004521 -3337.485 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 29522779 on 62704 degrees of freedom
Residual deviance: 9467584 on 61880 degrees of freedom
AIC: 9766335
Number of Fisher Scoring iterations: 7Similar to the Unconstrained Model, it can be seen that most p-value for each factor is much lower than 0.05, showing that most of them are statistically significant.
Let’s calculated the R-Squared value.
CalcRSquared(orcSIM$data$TOTAL_TRIP, orcSIM$fitted.values)[1] 0.4496127The R-Squared value indicates that the model can account for roughly 44.96% of the variation in the number of trips between each pair of origin-destination.
Destination Constrained Model
In a Destination Constrained Model, the destination cells will have no parameters as it is assumed to be a known constraint. According to Farmer & Oshan (2017), the Destination Constrained Model “takes as given the in flows to each destination and allocates the interactions to the various origins.”
decSIM <- glm(TOTAL_TRIP ~
log(ORIG.Entertainment)+
log(ORIG.Retails)+
log(ORIG.Leisure)+
log(ORIG.FinServ)+
log(ORIG.FoodBev)+
log(ORIG.trainstation)+
log(ORIG.busstop)+
log(ORIG.capacity)+
DESTIN_ID+
log(dists),
family = poisson(link = 'log'),
data = final_df,
na.action = na.exclude)summary(decSIM)
Call:
glm(formula = TOTAL_TRIP ~ log(ORIG.Entertainment) + log(ORIG.Retails) +
log(ORIG.Leisure) + log(ORIG.FinServ) + log(ORIG.FoodBev) +
log(ORIG.trainstation) + log(ORIG.busstop) + log(ORIG.capacity) +
DESTIN_ID + log(dists), family = poisson(link = "log"), data = final_df,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 11.2499196 0.2886929 38.968 < 2e-16 ***
log(ORIG.Entertainment) -0.0197765 0.0014449 -13.687 < 2e-16 ***
log(ORIG.Retails) -0.0024732 0.0004084 -6.056 1.40e-09 ***
log(ORIG.Leisure) -0.1216476 0.0006614 -183.935 < 2e-16 ***
log(ORIG.FinServ) 0.3863727 0.0005652 683.623 < 2e-16 ***
log(ORIG.FoodBev) -0.0448210 0.0005206 -86.087 < 2e-16 ***
log(ORIG.trainstation) 0.0165667 0.0014430 11.480 < 2e-16 ***
log(ORIG.busstop) 0.3092045 0.0008933 346.126 < 2e-16 ***
log(ORIG.capacity) 0.0678572 0.0001257 539.794 < 2e-16 ***
DESTIN_ID1001 4.7868128 0.2891540 16.555 < 2e-16 ***
DESTIN_ID1002 1.0948833 0.3149718 3.476 0.000509 ***
DESTIN_ID1003 3.7547891 0.2891657 12.985 < 2e-16 ***
DESTIN_ID1004 6.0194636 0.2886903 20.851 < 2e-16 ***
DESTIN_ID1005 3.2650067 0.2896095 11.274 < 2e-16 ***
DESTIN_ID101 4.5483528 0.2892910 15.722 < 2e-16 ***
DESTIN_ID1010 2.6672848 0.2894506 9.215 < 2e-16 ***
DESTIN_ID1011 2.0723045 0.2898833 7.149 8.76e-13 ***
DESTIN_ID1012 2.2516391 0.2895510 7.776 7.47e-15 ***
DESTIN_ID1013 2.9158870 0.2890224 10.089 < 2e-16 ***
DESTIN_ID1014 2.7242175 0.2895558 9.408 < 2e-16 ***
DESTIN_ID102 0.4142177 0.3489914 1.187 0.235267
DESTIN_ID1023 4.1865935 0.2888254 14.495 < 2e-16 ***
DESTIN_ID1024 4.1387577 0.2888048 14.331 < 2e-16 ***
DESTIN_ID1025 4.3304671 0.2890385 14.982 < 2e-16 ***
DESTIN_ID1028 2.2494866 0.2897327 7.764 8.23e-15 ***
DESTIN_ID1030 1.5093303 0.2916842 5.175 2.28e-07 ***
DESTIN_ID1031 3.8287427 0.2887919 13.258 < 2e-16 ***
DESTIN_ID1033 3.4190586 0.2889370 11.833 < 2e-16 ***
DESTIN_ID1040 0.9876643 0.3109136 3.177 0.001490 **
DESTIN_ID1041 2.8768190 0.2899486 9.922 < 2e-16 ***
DESTIN_ID1042 4.2299991 0.2887669 14.648 < 2e-16 ***
DESTIN_ID1043 3.1727996 0.2890798 10.976 < 2e-16 ***
DESTIN_ID1048 2.0576456 0.2895130 7.107 1.18e-12 ***
DESTIN_ID1049 3.2971122 0.2888631 11.414 < 2e-16 ***
DESTIN_ID1050 4.2909325 0.2887467 14.861 < 2e-16 ***
DESTIN_ID1061 4.4133129 0.2887931 15.282 < 2e-16 ***
DESTIN_ID1062 5.1684285 0.2887213 17.901 < 2e-16 ***
DESTIN_ID1063 2.4512815 0.2900255 8.452 < 2e-16 ***
DESTIN_ID1066 3.2474683 0.2889299 11.240 < 2e-16 ***
DESTIN_ID1067 3.8571341 0.2887783 13.357 < 2e-16 ***
DESTIN_ID1068 4.0364754 0.2887554 13.979 < 2e-16 ***
DESTIN_ID1069 3.1779294 0.2889044 11.000 < 2e-16 ***
DESTIN_ID1071 2.4058649 0.2895866 8.308 < 2e-16 ***
DESTIN_ID1078 2.8112358 0.2925095 9.611 < 2e-16 ***
DESTIN_ID1080 3.9943717 0.2888515 13.828 < 2e-16 ***
DESTIN_ID1081 3.4943221 0.2889462 12.093 < 2e-16 ***
DESTIN_ID1082 2.1537942 0.2907860 7.407 1.29e-13 ***
DESTIN_ID1086 3.0789547 0.2889629 10.655 < 2e-16 ***
DESTIN_ID1087 3.7795290 0.2888069 13.087 < 2e-16 ***
DESTIN_ID1089 3.3628526 0.2889099 11.640 < 2e-16 ***
DESTIN_ID1090 2.8531706 0.2891483 9.867 < 2e-16 ***
DESTIN_ID1097 0.7803078 0.3651486 2.137 0.032601 *
DESTIN_ID1100 3.9714563 0.2888270 13.750 < 2e-16 ***
DESTIN_ID1101 -0.2975930 0.3234363 -0.920 0.357522
DESTIN_ID1102 2.0473462 0.2931179 6.985 2.85e-12 ***
DESTIN_ID1104 3.9003595 0.2888023 13.505 < 2e-16 ***
DESTIN_ID1105 3.7306879 0.2887797 12.919 < 2e-16 ***
DESTIN_ID1106 3.3304090 0.2892106 11.516 < 2e-16 ***
DESTIN_ID1107 2.9317291 0.2891029 10.141 < 2e-16 ***
DESTIN_ID1108 3.1449082 0.2890130 10.882 < 2e-16 ***
DESTIN_ID1115 1.8931677 0.2970852 6.372 1.86e-10 ***
DESTIN_ID1116 2.0968578 0.2965867 7.070 1.55e-12 ***
DESTIN_ID1119 1.6300158 0.2903958 5.613 1.99e-08 ***
DESTIN_ID1120 2.8173260 0.2896505 9.727 < 2e-16 ***
DESTIN_ID1123 2.5617318 0.2892259 8.857 < 2e-16 ***
DESTIN_ID1124 3.1106234 0.2889177 10.766 < 2e-16 ***
DESTIN_ID1125 3.7105572 0.2887882 12.849 < 2e-16 ***
DESTIN_ID1128 3.5567028 0.2888767 12.312 < 2e-16 ***
DESTIN_ID1138 2.7958020 0.2892102 9.667 < 2e-16 ***
DESTIN_ID1139 3.4495179 0.2890498 11.934 < 2e-16 ***
DESTIN_ID1140 2.8487618 0.2898920 9.827 < 2e-16 ***
DESTIN_ID1142 2.2533348 0.2893976 7.786 6.90e-15 ***
DESTIN_ID1143 4.1131340 0.2887449 14.245 < 2e-16 ***
DESTIN_ID1144 2.7232412 0.2891637 9.418 < 2e-16 ***
DESTIN_ID1145 2.9129158 0.2891768 10.073 < 2e-16 ***
DESTIN_ID1146 3.2278524 0.2890142 11.168 < 2e-16 ***
DESTIN_ID1147 2.6457470 0.2896092 9.136 < 2e-16 ***
DESTIN_ID1152 0.1595264 0.3311337 0.482 0.629978
DESTIN_ID1153 3.1976319 0.2893649 11.051 < 2e-16 ***
DESTIN_ID1157 4.5614029 0.2887590 15.797 < 2e-16 ***
DESTIN_ID1158 2.3049143 0.2897849 7.954 1.81e-15 ***
DESTIN_ID116 4.8354365 0.2902276 16.661 < 2e-16 ***
DESTIN_ID1161 5.3903989 0.2887054 18.671 < 2e-16 ***
DESTIN_ID1162 3.7736013 0.2887855 13.067 < 2e-16 ***
DESTIN_ID1163 4.2001323 0.2887428 14.546 < 2e-16 ***
DESTIN_ID1164 2.4362636 0.2894557 8.417 < 2e-16 ***
DESTIN_ID1167 1.1747723 0.2952382 3.979 6.92e-05 ***
DESTIN_ID117 0.5720653 0.4281746 1.336 0.181531
DESTIN_ID1171 0.8495739 0.3008796 2.824 0.004748 **
DESTIN_ID1172 4.1679906 0.2889318 14.426 < 2e-16 ***
DESTIN_ID1173 2.6115854 0.2899524 9.007 < 2e-16 ***
DESTIN_ID1176 3.2363944 0.2889724 11.200 < 2e-16 ***
DESTIN_ID1177 3.9916166 0.2888830 13.817 < 2e-16 ***
DESTIN_ID118 2.0663170 0.3121186 6.620 3.58e-11 ***
DESTIN_ID1180 4.1458283 0.2887739 14.357 < 2e-16 ***
DESTIN_ID1181 3.7755890 0.2887615 13.075 < 2e-16 ***
DESTIN_ID1183 2.6061469 0.2904739 8.972 < 2e-16 ***
DESTIN_ID1184 3.7570780 0.2888422 13.007 < 2e-16 ***
DESTIN_ID1186 0.3106790 0.3234362 0.961 0.336775
DESTIN_ID119 1.3036943 0.3044326 4.282 1.85e-05 ***
DESTIN_ID1192 1.4847344 0.2921415 5.082 3.73e-07 ***
DESTIN_ID1193 2.1556016 0.2897195 7.440 1.00e-13 ***
DESTIN_ID1194 1.6594168 0.2905935 5.710 1.13e-08 ***
DESTIN_ID1195 5.0173608 0.2887274 17.378 < 2e-16 ***
DESTIN_ID1196 2.6962546 0.2897380 9.306 < 2e-16 ***
DESTIN_ID1198 4.3690365 0.2893466 15.100 < 2e-16 ***
DESTIN_ID1199 2.1912153 0.2895136 7.569 3.77e-14 ***
DESTIN_ID120 2.2075763 0.3016079 7.319 2.49e-13 ***
DESTIN_ID1200 3.7057792 0.2887815 12.832 < 2e-16 ***
DESTIN_ID1201 3.6413743 0.2887941 12.609 < 2e-16 ***
DESTIN_ID1202 3.1669873 0.2889129 10.962 < 2e-16 ***
DESTIN_ID1203 3.3311113 0.2890709 11.524 < 2e-16 ***
DESTIN_ID1204 4.0982153 0.2889473 14.183 < 2e-16 ***
DESTIN_ID1205 -0.5973058 0.3687355 -1.620 0.105259
DESTIN_ID1207 2.3929787 0.2895527 8.264 < 2e-16 ***
DESTIN_ID1208 2.8174204 0.2894033 9.735 < 2e-16 ***
DESTIN_ID1209 2.7113472 0.2897153 9.359 < 2e-16 ***
DESTIN_ID121 0.9511616 0.3050284 3.118 0.001819 **
DESTIN_ID1210 0.9025414 0.3106336 2.905 0.003667 **
DESTIN_ID1211 1.8310162 0.2915219 6.281 3.37e-10 ***
DESTIN_ID1212 -0.1991224 0.3037489 -0.656 0.512114
DESTIN_ID1213 4.8364112 0.2887306 16.751 < 2e-16 ***
DESTIN_ID1214 4.0925118 0.2888407 14.169 < 2e-16 ***
DESTIN_ID1215 -0.2109948 0.3687356 -0.572 0.567178
DESTIN_ID1218 3.1751463 0.2890122 10.986 < 2e-16 ***
DESTIN_ID1219 4.7656859 0.2887176 16.506 < 2e-16 ***
DESTIN_ID122 4.6496669 0.2890177 16.088 < 2e-16 ***
DESTIN_ID1220 3.6526343 0.2887924 12.648 < 2e-16 ***
DESTIN_ID1221 4.4154945 0.2887638 15.291 < 2e-16 ***
DESTIN_ID1222 2.6225734 0.2897462 9.051 < 2e-16 ***
DESTIN_ID1225 3.9129951 0.2888078 13.549 < 2e-16 ***
DESTIN_ID1226 1.9462031 0.2898725 6.714 1.89e-11 ***
DESTIN_ID1227 3.0360522 0.2891352 10.500 < 2e-16 ***
DESTIN_ID1229 1.5179874 0.2933338 5.175 2.28e-07 ***
DESTIN_ID1230 4.6994391 0.2887497 16.275 < 2e-16 ***
DESTIN_ID1231 3.6477110 0.2888541 12.628 < 2e-16 ***
DESTIN_ID1232 3.2209062 0.2889579 11.147 < 2e-16 ***
DESTIN_ID1233 4.3867450 0.2888172 15.189 < 2e-16 ***
DESTIN_ID1234 0.8800818 0.3141952 2.801 0.005093 **
DESTIN_ID1238 2.7492549 0.2889694 9.514 < 2e-16 ***
DESTIN_ID1239 2.6912008 0.2889712 9.313 < 2e-16 ***
DESTIN_ID1240 5.0384896 0.2887048 17.452 < 2e-16 ***
DESTIN_ID1241 3.1210680 0.2890214 10.799 < 2e-16 ***
DESTIN_ID1242 1.8218358 0.2901820 6.278 3.42e-10 ***
DESTIN_ID1243 1.0987817 0.2922782 3.759 0.000170 ***
DESTIN_ID1244 2.4388796 0.2892119 8.433 < 2e-16 ***
DESTIN_ID1245 3.7935038 0.2889037 13.131 < 2e-16 ***
DESTIN_ID1246 2.3600356 0.2899635 8.139 3.98e-16 ***
DESTIN_ID1249 1.7192851 0.2923010 5.882 4.06e-09 ***
DESTIN_ID1250 4.8572862 0.2887202 16.824 < 2e-16 ***
DESTIN_ID1251 5.4353612 0.2887011 18.827 < 2e-16 ***
DESTIN_ID1252 4.3936101 0.2888033 15.213 < 2e-16 ***
DESTIN_ID1253 2.1255120 0.2906611 7.313 2.62e-13 ***
DESTIN_ID1256 3.2629198 0.2888550 11.296 < 2e-16 ***
DESTIN_ID1257 2.8630002 0.2889036 9.910 < 2e-16 ***
DESTIN_ID1258 3.4105808 0.2888321 11.808 < 2e-16 ***
DESTIN_ID1259 4.0699026 0.2887901 14.093 < 2e-16 ***
DESTIN_ID1260 3.0221027 0.2909347 10.388 < 2e-16 ***
DESTIN_ID1261 1.5240756 0.2903191 5.250 1.52e-07 ***
DESTIN_ID1262 3.5642217 0.2888121 12.341 < 2e-16 ***
DESTIN_ID1263 3.5378880 0.2888201 12.249 < 2e-16 ***
DESTIN_ID1264 3.9877169 0.2887937 13.808 < 2e-16 ***
DESTIN_ID1265 3.7632080 0.2888306 13.029 < 2e-16 ***
DESTIN_ID1266 2.7187072 0.2896212 9.387 < 2e-16 ***
DESTIN_ID1268 3.5341762 0.2890146 12.228 < 2e-16 ***
DESTIN_ID1269 4.7031324 0.2887229 16.289 < 2e-16 ***
DESTIN_ID1270 3.9222974 0.2888223 13.580 < 2e-16 ***
DESTIN_ID1272 4.4802469 0.2893635 15.483 < 2e-16 ***
DESTIN_ID1276 4.0263290 0.2887453 13.944 < 2e-16 ***
DESTIN_ID1277 2.9892094 0.2889234 10.346 < 2e-16 ***
DESTIN_ID1278 4.7281557 0.2887148 16.377 < 2e-16 ***
DESTIN_ID1279 3.7952123 0.2888027 13.141 < 2e-16 ***
DESTIN_ID1280 2.9861922 0.2889160 10.336 < 2e-16 ***
DESTIN_ID1281 2.8964221 0.2889663 10.023 < 2e-16 ***
DESTIN_ID1282 3.0866747 0.2889517 10.682 < 2e-16 ***
DESTIN_ID1283 2.9500557 0.2889192 10.211 < 2e-16 ***
DESTIN_ID1284 3.6540056 0.2888172 12.652 < 2e-16 ***
DESTIN_ID1285 3.1024913 0.2889979 10.735 < 2e-16 ***
DESTIN_ID1288 3.7366394 0.2888580 12.936 < 2e-16 ***
DESTIN_ID1289 4.2424543 0.2887941 14.690 < 2e-16 ***
DESTIN_ID1294 3.4116563 0.2888728 11.810 < 2e-16 ***
DESTIN_ID1295 5.0773920 0.2887021 17.587 < 2e-16 ***
DESTIN_ID1296 4.2546153 0.2887305 14.736 < 2e-16 ***
DESTIN_ID1297 2.2479662 0.2898431 7.756 8.78e-15 ***
DESTIN_ID1298 4.1863848 0.2887500 14.498 < 2e-16 ***
DESTIN_ID1299 3.6557078 0.2887815 12.659 < 2e-16 ***
DESTIN_ID1300 1.1677255 0.2906727 4.017 5.89e-05 ***
DESTIN_ID1301 3.8867383 0.2887773 13.459 < 2e-16 ***
DESTIN_ID1302 4.3686511 0.2887264 15.131 < 2e-16 ***
DESTIN_ID1303 4.4210133 0.2887426 15.311 < 2e-16 ***
DESTIN_ID1304 1.6201476 0.2910665 5.566 2.60e-08 ***
DESTIN_ID1306 2.9100462 0.2892804 10.060 < 2e-16 ***
DESTIN_ID1307 4.0479929 0.2888109 14.016 < 2e-16 ***
DESTIN_ID1308 3.1515221 0.2892964 10.894 < 2e-16 ***
DESTIN_ID1314 3.4847674 0.2888034 12.066 < 2e-16 ***
DESTIN_ID1315 3.8445793 0.2887617 13.314 < 2e-16 ***
DESTIN_ID1316 3.1486145 0.2889578 10.896 < 2e-16 ***
DESTIN_ID1317 2.7862814 0.2890625 9.639 < 2e-16 ***
DESTIN_ID1318 3.7289971 0.2888007 12.912 < 2e-16 ***
DESTIN_ID1319 4.4451140 0.2887554 15.394 < 2e-16 ***
DESTIN_ID1320 5.0579290 0.2887033 17.519 < 2e-16 ***
DESTIN_ID1321 3.3106108 0.2888379 11.462 < 2e-16 ***
DESTIN_ID1322 4.0739193 0.2887557 14.109 < 2e-16 ***
DESTIN_ID1323 2.2662885 0.2895972 7.826 5.05e-15 ***
DESTIN_ID1326 4.0673886 0.2888265 14.082 < 2e-16 ***
DESTIN_ID1327 3.7317920 0.2889827 12.914 < 2e-16 ***
DESTIN_ID1332 2.3614695 0.2893536 8.161 3.32e-16 ***
DESTIN_ID1333 3.1336820 0.2888667 10.848 < 2e-16 ***
DESTIN_ID1334 4.4229349 0.2887175 15.319 < 2e-16 ***
DESTIN_ID1335 4.4670343 0.2887226 15.472 < 2e-16 ***
DESTIN_ID1336 3.3228121 0.2888629 11.503 < 2e-16 ***
DESTIN_ID1337 5.2464511 0.2886940 18.173 < 2e-16 ***
DESTIN_ID1338 2.9392260 0.2889019 10.174 < 2e-16 ***
DESTIN_ID1339 2.9406502 0.2888940 10.179 < 2e-16 ***
DESTIN_ID1340 5.1404324 0.2886982 17.806 < 2e-16 ***
DESTIN_ID1341 1.9564980 0.2896575 6.755 1.43e-11 ***
DESTIN_ID1342 2.2416353 0.2900674 7.728 1.09e-14 ***
DESTIN_ID1345 3.2546909 0.2892113 11.254 < 2e-16 ***
DESTIN_ID1352 2.3625016 0.2891738 8.170 3.09e-16 ***
DESTIN_ID1353 3.6198217 0.2887760 12.535 < 2e-16 ***
DESTIN_ID1354 4.8388259 0.2887041 16.761 < 2e-16 ***
DESTIN_ID1355 3.8795163 0.2887720 13.435 < 2e-16 ***
DESTIN_ID1356 3.7327643 0.2887921 12.925 < 2e-16 ***
DESTIN_ID1357 4.0634280 0.2887430 14.073 < 2e-16 ***
DESTIN_ID1358 3.7363111 0.2888669 12.934 < 2e-16 ***
DESTIN_ID1359 3.9504647 0.2887583 13.681 < 2e-16 ***
DESTIN_ID136 3.5768184 0.2969644 12.045 < 2e-16 ***
DESTIN_ID1360 3.7920942 0.2887935 13.131 < 2e-16 ***
DESTIN_ID1364 0.7419144 0.3469464 2.138 0.032483 *
DESTIN_ID137 1.4849466 0.3264803 4.548 5.41e-06 ***
DESTIN_ID1370 -1.8114695 1.0408335 -1.740 0.081788 .
DESTIN_ID1371 2.4259089 0.2901114 8.362 < 2e-16 ***
DESTIN_ID1372 4.4179696 0.2887202 15.302 < 2e-16 ***
DESTIN_ID1373 4.2223395 0.2887609 14.622 < 2e-16 ***
DESTIN_ID1374 3.3581210 0.2888404 11.626 < 2e-16 ***
DESTIN_ID1375 4.0961914 0.2888248 14.182 < 2e-16 ***
DESTIN_ID1376 3.3502132 0.2888396 11.599 < 2e-16 ***
DESTIN_ID1377 1.3580179 0.2901490 4.680 2.86e-06 ***
DESTIN_ID1378 4.2723201 0.2887451 14.796 < 2e-16 ***
DESTIN_ID1379 2.8118525 0.2894555 9.714 < 2e-16 ***
DESTIN_ID138 2.2517352 0.3162285 7.121 1.07e-12 ***
DESTIN_ID1380 3.0610044 0.2892506 10.583 < 2e-16 ***
DESTIN_ID1383 2.1491019 0.2908561 7.389 1.48e-13 ***
DESTIN_ID1389 2.6399101 0.2926786 9.020 < 2e-16 ***
DESTIN_ID139 1.8552704 0.2996416 6.192 5.95e-10 ***
DESTIN_ID1390 2.7300983 0.2895094 9.430 < 2e-16 ***
DESTIN_ID1391 3.7244074 0.2887954 12.896 < 2e-16 ***
DESTIN_ID1392 4.0977217 0.2887385 14.192 < 2e-16 ***
DESTIN_ID1393 3.6519264 0.2887653 12.647 < 2e-16 ***
DESTIN_ID1394 3.6971010 0.2887755 12.803 < 2e-16 ***
DESTIN_ID1395 4.3446717 0.2888636 15.041 < 2e-16 ***
DESTIN_ID1396 2.1214722 0.2897353 7.322 2.44e-13 ***
DESTIN_ID1397 2.6047147 0.2914579 8.937 < 2e-16 ***
DESTIN_ID1398 3.1009179 0.2890981 10.726 < 2e-16 ***
DESTIN_ID140 0.8685645 0.3056712 2.841 0.004490 **
DESTIN_ID1401 1.0192133 0.2993063 3.405 0.000661 ***
DESTIN_ID1408 3.1380273 0.2909364 10.786 < 2e-16 ***
DESTIN_ID1409 3.5790509 0.2889703 12.386 < 2e-16 ***
DESTIN_ID141 3.1894714 0.2903380 10.985 < 2e-16 ***
DESTIN_ID1410 3.4760037 0.2897765 11.995 < 2e-16 ***
DESTIN_ID1411 4.0659541 0.2887399 14.082 < 2e-16 ***
DESTIN_ID1412 4.3352918 0.2887305 15.015 < 2e-16 ***
DESTIN_ID1413 3.7387876 0.2888508 12.944 < 2e-16 ***
DESTIN_ID1414 0.9412205 0.2911588 3.233 0.001226 **
DESTIN_ID1415 2.8126725 0.2889504 9.734 < 2e-16 ***
DESTIN_ID1416 1.7595335 0.2897599 6.072 1.26e-09 ***
DESTIN_ID1417 1.9868144 0.2897197 6.858 7.00e-12 ***
DESTIN_ID1418 1.8038350 0.2905520 6.208 5.36e-10 ***
DESTIN_ID1419 -0.1352645 0.3282143 -0.412 0.680250
DESTIN_ID142 1.6699533 0.3055052 5.466 4.60e-08 ***
DESTIN_ID1420 0.5618805 0.3037477 1.850 0.064339 .
DESTIN_ID1428 2.3173226 0.2980967 7.774 7.62e-15 ***
DESTIN_ID1430 2.3691129 0.2894096 8.186 2.70e-16 ***
DESTIN_ID1431 1.5647881 0.2896655 5.402 6.59e-08 ***
DESTIN_ID1432 3.8384115 0.2887565 13.293 < 2e-16 ***
DESTIN_ID1433 3.0270542 0.2899937 10.438 < 2e-16 ***
DESTIN_ID1434 2.7714097 0.2891650 9.584 < 2e-16 ***
DESTIN_ID1435 3.7899402 0.2888347 13.121 < 2e-16 ***
DESTIN_ID1436 1.7261087 0.2898903 5.954 2.61e-09 ***
DESTIN_ID1439 1.9936951 0.2908915 6.854 7.19e-12 ***
DESTIN_ID1440 1.5259544 0.2991145 5.102 3.37e-07 ***
DESTIN_ID1448 3.9281683 0.2892104 13.582 < 2e-16 ***
DESTIN_ID1449 3.1998465 0.2888341 11.078 < 2e-16 ***
DESTIN_ID1450 3.6157218 0.2888251 12.519 < 2e-16 ***
DESTIN_ID1451 4.4328764 0.2887489 15.352 < 2e-16 ***
DESTIN_ID1452 2.7726291 0.2889829 9.594 < 2e-16 ***
DESTIN_ID1453 3.7925376 0.2887722 13.133 < 2e-16 ***
DESTIN_ID1454 3.7775763 0.2890262 13.070 < 2e-16 ***
DESTIN_ID1455 1.9698994 0.2895062 6.804 1.02e-11 ***
DESTIN_ID1456 4.0415815 0.2888079 13.994 < 2e-16 ***
DESTIN_ID1457 3.9513276 0.2888618 13.679 < 2e-16 ***
DESTIN_ID1458 1.5095353 0.2987500 5.053 4.35e-07 ***
DESTIN_ID1468 4.2328193 0.2891644 14.638 < 2e-16 ***
DESTIN_ID1469 4.1895620 0.2887345 14.510 < 2e-16 ***
DESTIN_ID1470 2.7593953 0.2890078 9.548 < 2e-16 ***
DESTIN_ID1471 4.0055590 0.2887750 13.871 < 2e-16 ***
DESTIN_ID1472 5.4273058 0.2886940 18.800 < 2e-16 ***
DESTIN_ID1473 2.6714345 0.2889840 9.244 < 2e-16 ***
DESTIN_ID1474 4.3955785 0.2887443 15.223 < 2e-16 ***
DESTIN_ID1475 2.8486359 0.2891364 9.852 < 2e-16 ***
DESTIN_ID1476 3.1732952 0.2890747 10.977 < 2e-16 ***
DESTIN_ID1477 0.3193274 0.3044341 1.049 0.294214
DESTIN_ID1486 1.9704200 0.2916126 6.757 1.41e-11 ***
DESTIN_ID1487 3.7737725 0.2887812 13.068 < 2e-16 ***
DESTIN_ID1488 2.6491075 0.2892077 9.160 < 2e-16 ***
DESTIN_ID1489 3.2427937 0.2888672 11.226 < 2e-16 ***
DESTIN_ID1490 3.1363444 0.2890994 10.849 < 2e-16 ***
DESTIN_ID1491 3.5274044 0.2887929 12.214 < 2e-16 ***
DESTIN_ID1492 3.4774575 0.2888093 12.041 < 2e-16 ***
DESTIN_ID1493 3.7843011 0.2887839 13.104 < 2e-16 ***
DESTIN_ID1494 4.1400564 0.2888163 14.335 < 2e-16 ***
DESTIN_ID1506 0.8699211 0.3063663 2.839 0.004519 **
DESTIN_ID1507 4.1169595 0.2887396 14.258 < 2e-16 ***
DESTIN_ID1508 2.9966096 0.2888738 10.373 < 2e-16 ***
DESTIN_ID1509 1.8266656 0.2916439 6.263 3.77e-10 ***
DESTIN_ID1510 3.6755889 0.2887949 12.727 < 2e-16 ***
DESTIN_ID1512 4.3066512 0.2887403 14.915 < 2e-16 ***
DESTIN_ID1513 4.2976068 0.2889001 14.876 < 2e-16 ***
DESTIN_ID1514 3.7218663 0.2889771 12.879 < 2e-16 ***
DESTIN_ID1524 2.8617084 0.2895220 9.884 < 2e-16 ***
DESTIN_ID1525 3.6876200 0.2888104 12.768 < 2e-16 ***
DESTIN_ID1526 3.3526746 0.2888246 11.608 < 2e-16 ***
DESTIN_ID1527 3.2389974 0.2890170 11.207 < 2e-16 ***
DESTIN_ID1528 2.4919254 0.2890852 8.620 < 2e-16 ***
DESTIN_ID1529 2.4114400 0.2891743 8.339 < 2e-16 ***
DESTIN_ID1530 2.7714960 0.2890734 9.588 < 2e-16 ***
DESTIN_ID1531 3.8309385 0.2887843 13.266 < 2e-16 ***
DESTIN_ID1532 2.9812064 0.2891542 10.310 < 2e-16 ***
DESTIN_ID1544 3.5007363 0.2889049 12.117 < 2e-16 ***
DESTIN_ID1545 3.2668063 0.2888233 11.311 < 2e-16 ***
DESTIN_ID1546 3.6088447 0.2887879 12.497 < 2e-16 ***
DESTIN_ID1547 3.2061257 0.2888729 11.099 < 2e-16 ***
DESTIN_ID1548 3.8709898 0.2887953 13.404 < 2e-16 ***
DESTIN_ID1549 4.8075648 0.2887200 16.651 < 2e-16 ***
DESTIN_ID1550 4.2600161 0.2887329 14.754 < 2e-16 ***
DESTIN_ID1551 2.1312957 0.2893670 7.365 1.77e-13 ***
DESTIN_ID1552 4.1307887 0.2888160 14.302 < 2e-16 ***
DESTIN_ID156 2.9575025 0.3234352 9.144 < 2e-16 ***
DESTIN_ID1562 -0.1615938 0.3241508 -0.499 0.618122
DESTIN_ID1563 3.7846268 0.2888060 13.104 < 2e-16 ***
DESTIN_ID1564 4.0397545 0.2887466 13.991 < 2e-16 ***
DESTIN_ID1565 3.2879148 0.2888350 11.383 < 2e-16 ***
DESTIN_ID1566 1.3857904 0.2911278 4.760 1.94e-06 ***
DESTIN_ID1567 3.7370048 0.2888131 12.939 < 2e-16 ***
DESTIN_ID1568 4.0167389 0.2887475 13.911 < 2e-16 ***
DESTIN_ID1569 3.4708790 0.2888140 12.018 < 2e-16 ***
DESTIN_ID1570 4.1017150 0.2887630 14.204 < 2e-16 ***
DESTIN_ID1571 4.3723796 0.2890575 15.126 < 2e-16 ***
DESTIN_ID158 1.3858935 0.3157963 4.389 1.14e-05 ***
DESTIN_ID1582 2.9336869 0.2890284 10.150 < 2e-16 ***
DESTIN_ID1583 4.6417090 0.2887127 16.077 < 2e-16 ***
DESTIN_ID1584 3.1028249 0.2888562 10.742 < 2e-16 ***
DESTIN_ID1585 2.2145294 0.2893896 7.652 1.97e-14 ***
DESTIN_ID1587 4.0652457 0.2887606 14.078 < 2e-16 ***
DESTIN_ID1588 5.1963249 0.2886995 17.999 < 2e-16 ***
DESTIN_ID1589 4.2604066 0.2887382 14.755 < 2e-16 ***
DESTIN_ID159 4.1569524 0.2891078 14.379 < 2e-16 ***
DESTIN_ID1590 3.6629311 0.2888182 12.682 < 2e-16 ***
DESTIN_ID1591 1.1056741 0.2949782 3.748 0.000178 ***
DESTIN_ID160 1.4676038 0.2983542 4.919 8.70e-07 ***
DESTIN_ID1600 1.2374390 0.3019056 4.099 4.15e-05 ***
DESTIN_ID1601 3.3838930 0.2888520 11.715 < 2e-16 ***
DESTIN_ID1602 3.4855597 0.2888166 12.068 < 2e-16 ***
DESTIN_ID1603 2.8558616 0.2890362 9.881 < 2e-16 ***
DESTIN_ID1604 4.2652693 0.2890511 14.756 < 2e-16 ***
DESTIN_ID1606 3.5733735 0.2888229 12.372 < 2e-16 ***
DESTIN_ID1607 3.1998738 0.2888653 11.077 < 2e-16 ***
DESTIN_ID1608 5.1801613 0.2887026 17.943 < 2e-16 ***
DESTIN_ID1609 3.8416032 0.2888149 13.301 < 2e-16 ***
DESTIN_ID1610 2.8265602 0.2900358 9.746 < 2e-16 ***
DESTIN_ID1620 4.5356315 0.2887458 15.708 < 2e-16 ***
DESTIN_ID1621 4.0755812 0.2887723 14.113 < 2e-16 ***
DESTIN_ID1622 3.3905987 0.2889681 11.733 < 2e-16 ***
DESTIN_ID1623 2.7036231 0.2890905 9.352 < 2e-16 ***
DESTIN_ID1624 0.5915894 0.3134641 1.887 0.059125 .
DESTIN_ID1625 1.0921096 0.2937724 3.718 0.000201 ***
DESTIN_ID1626 3.8860729 0.2887945 13.456 < 2e-16 ***
DESTIN_ID1627 3.9347950 0.2887655 13.626 < 2e-16 ***
DESTIN_ID1628 4.0318397 0.2887714 13.962 < 2e-16 ***
DESTIN_ID1629 3.3996104 0.2890180 11.763 < 2e-16 ***
DESTIN_ID1630 2.9518832 0.2913200 10.133 < 2e-16 ***
DESTIN_ID1639 3.6065149 0.2888407 12.486 < 2e-16 ***
DESTIN_ID1640 4.5871569 0.2887176 15.888 < 2e-16 ***
DESTIN_ID1641 3.8978682 0.2887698 13.498 < 2e-16 ***
DESTIN_ID1645 3.6308204 0.2888662 12.569 < 2e-16 ***
DESTIN_ID1646 3.8175822 0.2887883 13.219 < 2e-16 ***
DESTIN_ID1647 5.2518908 0.2887034 18.191 < 2e-16 ***
DESTIN_ID1648 2.1374749 0.2909139 7.347 2.02e-13 ***
DESTIN_ID1658 5.1030046 0.2887177 17.675 < 2e-16 ***
DESTIN_ID1659 3.2830925 0.2888673 11.365 < 2e-16 ***
DESTIN_ID1660 3.2754134 0.2888450 11.340 < 2e-16 ***
DESTIN_ID1661 2.4550916 0.2892780 8.487 < 2e-16 ***
DESTIN_ID1663 0.5503782 0.3067369 1.794 0.072765 .
DESTIN_ID1665 3.2282689 0.2889666 11.172 < 2e-16 ***
DESTIN_ID1666 4.8652128 0.2887160 16.851 < 2e-16 ***
DESTIN_ID1667 2.7301290 0.2897220 9.423 < 2e-16 ***
DESTIN_ID1668 4.3066104 0.2891736 14.893 < 2e-16 ***
DESTIN_ID1677 3.6537999 0.2888115 12.651 < 2e-16 ***
DESTIN_ID1678 3.9722503 0.2887777 13.755 < 2e-16 ***
DESTIN_ID1679 4.0190545 0.2887770 13.918 < 2e-16 ***
DESTIN_ID1682 1.2729525 0.2986927 4.262 2.03e-05 ***
DESTIN_ID1684 3.8090314 0.2893070 13.166 < 2e-16 ***
DESTIN_ID1685 3.8171578 0.2888352 13.216 < 2e-16 ***
DESTIN_ID1696 4.0496726 0.2888324 14.021 < 2e-16 ***
DESTIN_ID1697 2.0979477 0.2898986 7.237 4.59e-13 ***
DESTIN_ID1698 3.7455060 0.2895004 12.938 < 2e-16 ***
DESTIN_ID1699 3.7072907 0.2888162 12.836 < 2e-16 ***
DESTIN_ID1702 0.3873261 0.3202587 1.209 0.226503
DESTIN_ID1704 4.0798950 0.2888100 14.127 < 2e-16 ***
DESTIN_ID1705 3.5190786 0.2894128 12.159 < 2e-16 ***
DESTIN_ID1715 3.5614642 0.2888521 12.330 < 2e-16 ***
DESTIN_ID1716 3.0238266 0.2889730 10.464 < 2e-16 ***
DESTIN_ID1717 2.6475138 0.2892365 9.153 < 2e-16 ***
DESTIN_ID1718 -0.0620606 0.3086091 -0.201 0.840622
DESTIN_ID1721 0.7316904 0.3153795 2.320 0.020339 *
DESTIN_ID1723 3.2212373 0.2892360 11.137 < 2e-16 ***
DESTIN_ID1734 1.9695861 0.2963076 6.647 2.99e-11 ***
DESTIN_ID1735 3.0969821 0.2889791 10.717 < 2e-16 ***
DESTIN_ID1736 4.2087926 0.2888392 14.571 < 2e-16 ***
DESTIN_ID1737 4.1686553 0.2887731 14.436 < 2e-16 ***
DESTIN_ID1740 1.3150616 0.2970053 4.428 9.52e-06 ***
DESTIN_ID1742 3.2057659 0.2892698 11.082 < 2e-16 ***
DESTIN_ID1753 3.4482843 0.2889033 11.936 < 2e-16 ***
DESTIN_ID1754 4.0054810 0.2887765 13.871 < 2e-16 ***
DESTIN_ID1755 4.1058010 0.2887981 14.217 < 2e-16 ***
DESTIN_ID1758 1.1539507 0.2980924 3.871 0.000108 ***
DESTIN_ID177 0.3489048 0.4174246 0.836 0.403239
DESTIN_ID1772 1.0397431 0.3196913 3.252 0.001145 **
DESTIN_ID1773 3.2256173 0.2890030 11.161 < 2e-16 ***
DESTIN_ID1774 5.5904865 0.2886914 19.365 < 2e-16 ***
DESTIN_ID1775 3.1970699 0.2889797 11.063 < 2e-16 ***
DESTIN_ID1776 3.8607800 0.2888216 13.367 < 2e-16 ***
DESTIN_ID1778 1.3150319 0.3038808 4.327 1.51e-05 ***
DESTIN_ID178 1.1100970 0.2986911 3.717 0.000202 ***
DESTIN_ID179 0.9476288 0.3415651 2.774 0.005531 **
DESTIN_ID1791 3.3407264 0.2890090 11.559 < 2e-16 ***
DESTIN_ID1792 1.7474782 0.2897169 6.032 1.62e-09 ***
DESTIN_ID1793 3.7158093 0.2888244 12.865 < 2e-16 ***
DESTIN_ID1794 2.5454469 0.2896224 8.789 < 2e-16 ***
DESTIN_ID1795 3.9515495 0.2888152 13.682 < 2e-16 ***
DESTIN_ID1796 2.7630073 0.2891930 9.554 < 2e-16 ***
DESTIN_ID1797 3.2366096 0.2890063 11.199 < 2e-16 ***
DESTIN_ID1811 3.5027103 0.2888655 12.126 < 2e-16 ***
DESTIN_ID1812 4.0372648 0.2887539 13.982 < 2e-16 ***
DESTIN_ID1813 4.0692207 0.2887675 14.092 < 2e-16 ***
DESTIN_ID1814 4.4955466 0.2887574 15.569 < 2e-16 ***
DESTIN_ID1815 3.8443849 0.2888253 13.310 < 2e-16 ***
DESTIN_ID1816 4.3067267 0.2887962 14.913 < 2e-16 ***
DESTIN_ID1817 1.7619755 0.2913967 6.047 1.48e-09 ***
DESTIN_ID1830 3.9848366 0.2888813 13.794 < 2e-16 ***
DESTIN_ID1831 4.3318723 0.2887506 15.002 < 2e-16 ***
DESTIN_ID1832 3.9002766 0.2887743 13.506 < 2e-16 ***
DESTIN_ID1833 3.7703224 0.2888005 13.055 < 2e-16 ***
DESTIN_ID1834 2.7729691 0.2892446 9.587 < 2e-16 ***
DESTIN_ID1835 4.2841855 0.2887776 14.836 < 2e-16 ***
DESTIN_ID1849 3.2562391 0.2890026 11.267 < 2e-16 ***
DESTIN_ID1850 3.9325108 0.2887851 13.617 < 2e-16 ***
DESTIN_ID1851 1.3862269 0.2925700 4.738 2.16e-06 ***
DESTIN_ID1852 4.6234703 0.2887171 16.014 < 2e-16 ***
DESTIN_ID1853 3.5483090 0.2888521 12.284 < 2e-16 ***
DESTIN_ID1854 3.6738919 0.2888347 12.720 < 2e-16 ***
DESTIN_ID1855 1.6794943 0.2911344 5.769 7.98e-09 ***
DESTIN_ID1868 3.8569823 0.2888342 13.354 < 2e-16 ***
DESTIN_ID1869 3.1053495 0.2889653 10.746 < 2e-16 ***
DESTIN_ID1870 1.4002883 0.2922567 4.791 1.66e-06 ***
DESTIN_ID1871 5.8082714 0.2886893 20.119 < 2e-16 ***
DESTIN_ID1872 3.7101850 0.2889597 12.840 < 2e-16 ***
DESTIN_ID1873 3.8410777 0.2888546 13.298 < 2e-16 ***
DESTIN_ID1887 3.1639329 0.2890620 10.946 < 2e-16 ***
DESTIN_ID1888 4.5810225 0.2887411 15.866 < 2e-16 ***
DESTIN_ID1889 3.4011701 0.2888751 11.774 < 2e-16 ***
DESTIN_ID1890 3.7518091 0.2887827 12.992 < 2e-16 ***
DESTIN_ID1891 3.1172500 0.2890039 10.786 < 2e-16 ***
DESTIN_ID1892 5.4244414 0.2887013 18.789 < 2e-16 ***
DESTIN_ID1893 2.3976144 0.2919648 8.212 < 2e-16 ***
DESTIN_ID1905 3.0851537 0.2993077 10.308 < 2e-16 ***
DESTIN_ID1906 1.7682058 0.2902137 6.093 1.11e-09 ***
DESTIN_ID1907 2.8903320 0.2890423 10.000 < 2e-16 ***
DESTIN_ID1908 4.3842520 0.2887700 15.183 < 2e-16 ***
DESTIN_ID1909 3.6546638 0.2888024 12.655 < 2e-16 ***
DESTIN_ID1910 2.8912474 0.2891242 10.000 < 2e-16 ***
DESTIN_ID1911 0.9112340 0.2970065 3.068 0.002155 **
DESTIN_ID1926 3.1354193 0.2893312 10.837 < 2e-16 ***
DESTIN_ID1927 2.6592536 0.2896182 9.182 < 2e-16 ***
DESTIN_ID1928 4.1706828 0.2887480 14.444 < 2e-16 ***
DESTIN_ID1929 4.2184779 0.2888060 14.607 < 2e-16 ***
DESTIN_ID1930 4.0624058 0.2887929 14.067 < 2e-16 ***
DESTIN_ID1944 3.5094244 0.2892840 12.131 < 2e-16 ***
DESTIN_ID1945 1.5124181 0.2911725 5.194 2.06e-07 ***
DESTIN_ID1946 4.0434753 0.2888049 14.001 < 2e-16 ***
DESTIN_ID1947 4.6696358 0.2887222 16.173 < 2e-16 ***
DESTIN_ID1948 4.3973053 0.2887608 15.228 < 2e-16 ***
DESTIN_ID1949 3.7752012 0.2889215 13.067 < 2e-16 ***
DESTIN_ID195 2.3525214 0.3333344 7.058 1.69e-12 ***
DESTIN_ID196 3.8089724 0.2893153 13.165 < 2e-16 ***
DESTIN_ID1965 3.6496576 0.2888698 12.634 < 2e-16 ***
DESTIN_ID1966 2.9254990 0.2891102 10.119 < 2e-16 ***
DESTIN_ID1967 3.2983008 0.2888748 11.418 < 2e-16 ***
DESTIN_ID1968 3.8108064 0.2888687 13.192 < 2e-16 ***
DESTIN_ID197 2.0965670 0.2935970 7.141 9.27e-13 ***
DESTIN_ID1983 3.3952933 0.2892963 11.736 < 2e-16 ***
DESTIN_ID1984 2.5395566 0.2896486 8.768 < 2e-16 ***
DESTIN_ID1985 3.1574458 0.2890130 10.925 < 2e-16 ***
DESTIN_ID1986 3.9398527 0.2888096 13.642 < 2e-16 ***
DESTIN_ID1987 2.9467330 0.2923316 10.080 < 2e-16 ***
DESTIN_ID2002 2.7521422 0.2951166 9.326 < 2e-16 ***
DESTIN_ID2003 0.9408001 0.2953392 3.185 0.001445 **
DESTIN_ID2004 1.9720806 0.2929430 6.732 1.67e-11 ***
DESTIN_ID2005 3.4626409 0.2889769 11.982 < 2e-16 ***
DESTIN_ID2006 2.2615127 0.2896883 7.807 5.87e-15 ***
DESTIN_ID2021 2.1054242 0.2935023 7.173 7.31e-13 ***
DESTIN_ID2022 3.6466756 0.2899769 12.576 < 2e-16 ***
DESTIN_ID2023 2.8267660 0.2899051 9.751 < 2e-16 ***
DESTIN_ID2024 1.6172540 0.2910598 5.556 2.75e-08 ***
DESTIN_ID2025 -0.2027042 0.3371011 -0.601 0.547630
DESTIN_ID2042 0.7246526 0.3095709 2.341 0.019241 *
DESTIN_ID2043 2.2024774 0.2913746 7.559 4.06e-14 ***
DESTIN_ID2044 1.7274791 0.2911690 5.933 2.98e-09 ***
DESTIN_ID2045 1.7947632 0.2976069 6.031 1.63e-09 ***
DESTIN_ID2061 1.8930651 0.2980416 6.352 2.13e-10 ***
DESTIN_ID2062 2.0596764 0.2923309 7.046 1.85e-12 ***
DESTIN_ID2063 1.8570306 0.2909291 6.383 1.74e-10 ***
DESTIN_ID2064 1.8202929 0.2976530 6.115 9.63e-10 ***
DESTIN_ID2079 3.0462792 0.2901111 10.500 < 2e-16 ***
DESTIN_ID2082 1.7577550 0.2959253 5.940 2.85e-09 ***
DESTIN_ID2083 2.0714701 0.2906078 7.128 1.02e-12 ***
DESTIN_ID2098 4.1641908 0.2890548 14.406 < 2e-16 ***
DESTIN_ID2099 5.4458617 0.2887727 18.859 < 2e-16 ***
DESTIN_ID2102 4.5482197 0.2888745 15.745 < 2e-16 ***
DESTIN_ID2115 5.1804065 0.2893386 17.904 < 2e-16 ***
DESTIN_ID2119 5.8275751 0.2887492 20.182 < 2e-16 ***
DESTIN_ID2121 3.7163153 0.2891055 12.855 < 2e-16 ***
DESTIN_ID2137 3.7062473 0.2892593 12.813 < 2e-16 ***
DESTIN_ID2140 2.9670206 0.2900881 10.228 < 2e-16 ***
DESTIN_ID215 -0.0470898 0.3651494 -0.129 0.897389
DESTIN_ID2153 2.9831708 0.2946912 10.123 < 2e-16 ***
DESTIN_ID2158 3.4349058 0.2897635 11.854 < 2e-16 ***
DESTIN_ID216 1.1905488 0.3124418 3.810 0.000139 ***
DESTIN_ID217 3.7025884 0.2949066 12.555 < 2e-16 ***
DESTIN_ID2177 3.2437771 0.2897407 11.195 < 2e-16 ***
DESTIN_ID2178 1.1950167 0.3010534 3.969 7.20e-05 ***
DESTIN_ID2196 3.1225167 0.2956050 10.563 < 2e-16 ***
DESTIN_ID2197 2.9412793 0.2906335 10.120 < 2e-16 ***
DESTIN_ID2267 2.2333075 0.3202582 6.973 3.09e-12 ***
DESTIN_ID233 2.8018137 0.2962075 9.459 < 2e-16 ***
DESTIN_ID234 0.9305785 0.3071204 3.030 0.002445 **
DESTIN_ID235 1.3386403 0.3055062 4.382 1.18e-05 ***
DESTIN_ID252 2.4448308 0.2947747 8.294 < 2e-16 ***
DESTIN_ID253 1.4873328 0.2984640 4.983 6.25e-07 ***
DESTIN_ID254 2.2747753 0.2951884 7.706 1.30e-14 ***
DESTIN_ID271 1.3622852 0.3134635 4.346 1.39e-05 ***
DESTIN_ID272 3.0285080 0.2905940 10.422 < 2e-16 ***
DESTIN_ID290 2.1487296 0.3055057 7.033 2.02e-12 ***
DESTIN_ID291 1.2378038 0.3248938 3.810 0.000139 ***
DESTIN_ID292 2.9653717 0.2970864 9.982 < 2e-16 ***
DESTIN_ID308 3.9699652 0.2927807 13.560 < 2e-16 ***
DESTIN_ID309 1.7525227 0.3015120 5.812 6.16e-09 ***
DESTIN_ID310 2.5730182 0.2949074 8.725 < 2e-16 ***
DESTIN_ID329 2.8288664 0.2981429 9.488 < 2e-16 ***
DESTIN_ID330 2.0520054 0.2973385 6.901 5.15e-12 ***
DESTIN_ID347 1.9246813 0.2941398 6.543 6.01e-11 ***
DESTIN_ID348 2.2374921 0.2953653 7.575 3.58e-14 ***
DESTIN_ID349 0.4969659 0.3450338 1.440 0.149771
DESTIN_ID366 2.4175880 0.3000006 8.059 7.72e-16 ***
DESTIN_ID367 1.7361121 0.3053438 5.686 1.30e-08 ***
DESTIN_ID368 4.8101196 0.2887711 16.657 < 2e-16 ***
DESTIN_ID369 3.6814518 0.2899369 12.697 < 2e-16 ***
DESTIN_ID370 4.7870657 0.2889806 16.565 < 2e-16 ***
DESTIN_ID385 0.8697577 0.3264808 2.664 0.007721 **
DESTIN_ID386 0.9440811 0.3053440 3.092 0.001989 **
DESTIN_ID387 2.0905098 0.2906318 7.193 6.34e-13 ***
DESTIN_ID388 2.6400671 0.2905308 9.087 < 2e-16 ***
DESTIN_ID389 3.8722361 0.2906354 13.323 < 2e-16 ***
DESTIN_ID40 2.0898958 0.3511890 5.951 2.67e-09 ***
DESTIN_ID404 1.7314930 0.3134638 5.524 3.32e-08 ***
DESTIN_ID405 0.7615510 0.3181052 2.394 0.016665 *
DESTIN_ID406 0.3147983 0.3088406 1.019 0.308065
DESTIN_ID407 3.5943254 0.2890755 12.434 < 2e-16 ***
DESTIN_ID408 3.3555817 0.2894757 11.592 < 2e-16 ***
DESTIN_ID42 2.8575127 0.2978908 9.592 < 2e-16 ***
DESTIN_ID424 1.7440090 0.2962083 5.888 3.91e-09 ***
DESTIN_ID425 1.5060263 0.2914936 5.167 2.38e-07 ***
DESTIN_ID426 4.3916677 0.2888042 15.206 < 2e-16 ***
DESTIN_ID427 3.6948448 0.2897210 12.753 < 2e-16 ***
DESTIN_ID442 1.5624466 0.3109136 5.025 5.03e-07 ***
DESTIN_ID443 -0.5366293 0.4174246 -1.286 0.198593
DESTIN_ID444 2.6891633 0.2903093 9.263 < 2e-16 ***
DESTIN_ID445 2.9978077 0.2891943 10.366 < 2e-16 ***
DESTIN_ID447 -0.5226259 0.4003213 -1.306 0.191717
DESTIN_ID448 3.1635161 0.2916992 10.845 < 2e-16 ***
DESTIN_ID461 1.6091755 0.2995727 5.372 7.81e-08 ***
DESTIN_ID462 1.5893110 0.2975156 5.342 9.20e-08 ***
DESTIN_ID463 2.3638688 0.2895187 8.165 3.22e-16 ***
DESTIN_ID464 4.5279220 0.2887613 15.681 < 2e-16 ***
DESTIN_ID465 1.8522524 0.2941405 6.297 3.03e-10 ***
DESTIN_ID466 1.6520825 0.3022153 5.467 4.59e-08 ***
DESTIN_ID467 1.4083602 0.3153776 4.466 7.98e-06 ***
DESTIN_ID480 1.5916715 0.3149707 5.053 4.34e-07 ***
DESTIN_ID481 2.4848623 0.2924332 8.497 < 2e-16 ***
DESTIN_ID482 1.5371735 0.2922629 5.260 1.44e-07 ***
DESTIN_ID483 5.0479486 0.2887233 17.484 < 2e-16 ***
DESTIN_ID484 4.6553412 0.2887704 16.121 < 2e-16 ***
DESTIN_ID486 2.6038904 0.2917637 8.925 < 2e-16 ***
DESTIN_ID487 1.1181427 0.3345236 3.342 0.000830 ***
DESTIN_ID488 0.7920870 0.4003230 1.979 0.047859 *
DESTIN_ID489 0.6734273 0.5322927 1.265 0.205819
DESTIN_ID499 0.5191099 0.3333340 1.557 0.119393
DESTIN_ID500 1.7003360 0.3186184 5.337 9.47e-08 ***
DESTIN_ID501 1.4913910 0.2909475 5.126 2.96e-07 ***
DESTIN_ID502 4.1229921 0.2887855 14.277 < 2e-16 ***
DESTIN_ID503 3.4122470 0.2894248 11.790 < 2e-16 ***
DESTIN_ID507 2.7093111 0.3027680 8.948 < 2e-16 ***
DESTIN_ID508 0.6140460 0.4082508 1.504 0.132558
DESTIN_ID509 0.7196617 0.4174262 1.724 0.084700 .
DESTIN_ID518 0.8971467 0.4409618 2.035 0.041899 *
DESTIN_ID519 2.6794596 0.2948190 9.088 < 2e-16 ***
DESTIN_ID520 2.2088958 0.2958068 7.467 8.18e-14 ***
DESTIN_ID521 6.0863191 0.2886890 21.083 < 2e-16 ***
DESTIN_ID522 3.8341714 0.2888446 13.274 < 2e-16 ***
DESTIN_ID524 0.3279860 0.3450349 0.951 0.341814
DESTIN_ID528 1.2769988 0.3264819 3.911 9.18e-05 ***
DESTIN_ID529 1.6800605 0.3060119 5.490 4.02e-08 ***
DESTIN_ID530 2.3988729 0.3042919 7.883 3.18e-15 ***
DESTIN_ID537 0.2457920 0.3399891 0.723 0.469716
DESTIN_ID538 1.5558961 0.2971265 5.236 1.64e-07 ***
DESTIN_ID539 1.2241113 0.2923312 4.187 2.82e-05 ***
DESTIN_ID540 3.8553890 0.2887943 13.350 < 2e-16 ***
DESTIN_ID541 -0.0484704 0.3127749 -0.155 0.876846
DESTIN_ID547 0.4195707 0.3618741 1.159 0.246278
DESTIN_ID548 1.3436916 0.3241499 4.145 3.39e-05 ***
DESTIN_ID557 0.5305647 0.3045783 1.742 0.081515 .
DESTIN_ID558 1.7538500 0.2924425 5.997 2.01e-09 ***
DESTIN_ID559 1.4906109 0.2904501 5.132 2.87e-07 ***
DESTIN_ID560 4.3017917 0.2887690 14.897 < 2e-16 ***
DESTIN_ID562 1.4924060 0.2981960 5.005 5.59e-07 ***
DESTIN_ID577 0.7136218 0.2970464 2.402 0.016288 *
DESTIN_ID578 4.1248326 0.2887656 14.284 < 2e-16 ***
DESTIN_ID595 1.1763802 0.2942642 3.998 6.40e-05 ***
DESTIN_ID596 2.8161590 0.2891571 9.739 < 2e-16 ***
DESTIN_ID597 3.6334224 0.2888597 12.579 < 2e-16 ***
DESTIN_ID598 4.7715760 0.2887264 16.526 < 2e-16 ***
DESTIN_ID60 0.9411736 0.4082486 2.305 0.021145 *
DESTIN_ID600 4.6701571 0.2889609 16.162 < 2e-16 ***
DESTIN_ID61 2.4770746 0.2950674 8.395 < 2e-16 ***
DESTIN_ID613 1.5702825 0.2975613 5.277 1.31e-07 ***
DESTIN_ID614 0.4503422 0.3004644 1.499 0.133920
DESTIN_ID615 4.3403165 0.2887700 15.030 < 2e-16 ***
DESTIN_ID616 5.1064640 0.2887126 17.687 < 2e-16 ***
DESTIN_ID617 3.1208308 0.2892857 10.788 < 2e-16 ***
DESTIN_ID62 3.2611545 0.2941224 11.088 < 2e-16 ***
DESTIN_ID633 1.8091592 0.2917259 6.202 5.59e-10 ***
DESTIN_ID634 3.9575727 0.2888455 13.701 < 2e-16 ***
DESTIN_ID635 2.8217757 0.2891714 9.758 < 2e-16 ***
DESTIN_ID636 4.5212402 0.2887409 15.658 < 2e-16 ***
DESTIN_ID638 1.7203562 0.2943751 5.844 5.09e-09 ***
DESTIN_ID654 2.4283493 0.2894952 8.388 < 2e-16 ***
DESTIN_ID657 1.5855672 0.2933588 5.405 6.49e-08 ***
DESTIN_ID662 2.2949275 0.3115005 7.367 1.74e-13 ***
DESTIN_ID671 3.0617124 0.2896142 10.572 < 2e-16 ***
DESTIN_ID673 1.9572832 0.2896141 6.758 1.40e-11 ***
DESTIN_ID674 3.9345001 0.2887923 13.624 < 2e-16 ***
DESTIN_ID682 2.7890955 0.2946486 9.466 < 2e-16 ***
DESTIN_ID689 1.7016215 0.2948630 5.771 7.89e-09 ***
DESTIN_ID690 3.2969068 0.2891740 11.401 < 2e-16 ***
DESTIN_ID691 1.8801259 0.2898070 6.488 8.73e-11 ***
DESTIN_ID692 4.6117593 0.2887275 15.973 < 2e-16 ***
DESTIN_ID693 2.5176158 0.2897022 8.690 < 2e-16 ***
DESTIN_ID695 4.5216274 0.2888040 15.656 < 2e-16 ***
DESTIN_ID700 3.2469687 0.2908846 11.162 < 2e-16 ***
DESTIN_ID710 1.2188950 0.2917592 4.178 2.94e-05 ***
DESTIN_ID711 3.7017322 0.2887987 12.818 < 2e-16 ***
DESTIN_ID712 2.9925325 0.2889441 10.357 < 2e-16 ***
DESTIN_ID713 3.1613349 0.2892903 10.928 < 2e-16 ***
DESTIN_ID714 3.7554805 0.2889328 12.998 < 2e-16 ***
DESTIN_ID715 2.5826600 0.2896593 8.916 < 2e-16 ***
DESTIN_ID727 0.1202410 0.3157967 0.381 0.703385
DESTIN_ID728 4.3484896 0.2888102 15.057 < 2e-16 ***
DESTIN_ID729 5.1928728 0.2887038 17.987 < 2e-16 ***
DESTIN_ID730 3.5357360 0.2888146 12.242 < 2e-16 ***
DESTIN_ID731 4.3369474 0.2887976 15.017 < 2e-16 ***
DESTIN_ID732 2.1261534 0.2906364 7.316 2.56e-13 ***
DESTIN_ID733 4.3852435 0.2887558 15.187 < 2e-16 ***
DESTIN_ID734 3.7853973 0.2889175 13.102 < 2e-16 ***
DESTIN_ID738 3.2251621 0.2904891 11.103 < 2e-16 ***
DESTIN_ID746 1.4688736 0.2966967 4.951 7.39e-07 ***
DESTIN_ID748 1.9620445 0.2895443 6.776 1.23e-11 ***
DESTIN_ID749 3.9598680 0.2887868 13.712 < 2e-16 ***
DESTIN_ID750 4.0758191 0.2887642 14.115 < 2e-16 ***
DESTIN_ID751 3.8985078 0.2888492 13.497 < 2e-16 ***
DESTIN_ID752 3.5345730 0.2889516 12.232 < 2e-16 ***
DESTIN_ID753 5.6085835 0.2886988 19.427 < 2e-16 ***
DESTIN_ID754 5.3356154 0.2887430 18.479 < 2e-16 ***
DESTIN_ID757 0.8914595 0.3157962 2.823 0.004759 **
DESTIN_ID764 0.2092416 0.3535554 0.592 0.553970
DESTIN_ID766 3.6793574 0.2888683 12.737 < 2e-16 ***
DESTIN_ID767 4.3933755 0.2887628 15.214 < 2e-16 ***
DESTIN_ID768 3.5059520 0.2888345 12.138 < 2e-16 ***
DESTIN_ID769 2.8578846 0.2890271 9.888 < 2e-16 ***
DESTIN_ID770 3.9380306 0.2888087 13.635 < 2e-16 ***
DESTIN_ID771 3.9233317 0.2887877 13.586 < 2e-16 ***
DESTIN_ID772 3.5330176 0.2889175 12.228 < 2e-16 ***
DESTIN_ID773 5.2613003 0.2887673 18.220 < 2e-16 ***
DESTIN_ID774 1.2683904 0.3034894 4.179 2.92e-05 ***
DESTIN_ID775 0.4907178 0.3106307 1.580 0.114165
DESTIN_ID776 2.4045714 0.2925854 8.218 < 2e-16 ***
DESTIN_ID78 2.6482502 0.3227493 8.205 2.30e-16 ***
DESTIN_ID784 2.2684739 0.2919511 7.770 7.85e-15 ***
DESTIN_ID785 2.5346501 0.2896487 8.751 < 2e-16 ***
DESTIN_ID786 3.1571918 0.2891615 10.918 < 2e-16 ***
DESTIN_ID787 3.7209857 0.2891070 12.871 < 2e-16 ***
DESTIN_ID788 5.1470833 0.2887048 17.828 < 2e-16 ***
DESTIN_ID789 4.9890870 0.2887677 17.277 < 2e-16 ***
DESTIN_ID79 0.0581337 0.7637629 0.076 0.939328
DESTIN_ID790 1.9056150 0.2897198 6.577 4.79e-11 ***
DESTIN_ID791 3.3149593 0.2890601 11.468 < 2e-16 ***
DESTIN_ID792 2.5183641 0.2893735 8.703 < 2e-16 ***
DESTIN_ID793 0.5945855 0.3357761 1.771 0.076597 .
DESTIN_ID794 0.9625611 0.3031189 3.176 0.001496 **
DESTIN_ID795 3.0816427 0.2907036 10.601 < 2e-16 ***
DESTIN_ID80 3.1551357 0.2915573 10.822 < 2e-16 ***
DESTIN_ID803 2.7452868 0.2894349 9.485 < 2e-16 ***
DESTIN_ID804 3.1078152 0.2890817 10.751 < 2e-16 ***
DESTIN_ID805 1.1120333 0.2953394 3.765 0.000166 ***
DESTIN_ID806 4.1627870 0.2887670 14.416 < 2e-16 ***
DESTIN_ID807 3.2985982 0.2893333 11.401 < 2e-16 ***
DESTIN_ID809 4.1563571 0.2887632 14.394 < 2e-16 ***
DESTIN_ID81 3.6670929 0.3036178 12.078 < 2e-16 ***
DESTIN_ID810 1.8943525 0.2899225 6.534 6.40e-11 ***
DESTIN_ID811 2.3615555 0.2904177 8.132 4.24e-16 ***
DESTIN_ID812 1.4636698 0.2949530 4.962 6.96e-07 ***
DESTIN_ID813 2.8248982 0.2898660 9.746 < 2e-16 ***
DESTIN_ID814 1.7566506 0.2960787 5.933 2.97e-09 ***
DESTIN_ID82 1.2245934 0.5000004 2.449 0.014318 *
DESTIN_ID822 2.9694145 0.2904193 10.225 < 2e-16 ***
DESTIN_ID823 3.4365205 0.2888787 11.896 < 2e-16 ***
DESTIN_ID824 0.7896217 0.2934619 2.691 0.007130 **
DESTIN_ID825 3.2060677 0.2890272 11.093 < 2e-16 ***
DESTIN_ID826 3.9241699 0.2887983 13.588 < 2e-16 ***
DESTIN_ID829 3.8825288 0.2888037 13.443 < 2e-16 ***
DESTIN_ID831 3.8566914 0.2890154 13.344 < 2e-16 ***
DESTIN_ID832 1.8134408 0.2944311 6.159 7.31e-10 ***
DESTIN_ID833 2.6312798 0.2900377 9.072 < 2e-16 ***
DESTIN_ID840 3.1736040 0.2893101 10.970 < 2e-16 ***
DESTIN_ID841 3.8154756 0.2888133 13.211 < 2e-16 ***
DESTIN_ID842 4.6439116 0.2887248 16.084 < 2e-16 ***
DESTIN_ID843 1.1978901 0.2924670 4.096 4.21e-05 ***
DESTIN_ID844 1.7622500 0.2914013 6.048 1.47e-09 ***
DESTIN_ID845 3.5361341 0.2889559 12.238 < 2e-16 ***
DESTIN_ID846 0.9485674 0.2927629 3.240 0.001195 **
DESTIN_ID847 5.6013739 0.2886961 19.402 < 2e-16 ***
DESTIN_ID850 -0.9531744 0.7637628 -1.248 0.212032
DESTIN_ID851 5.3974854 0.2887389 18.693 < 2e-16 ***
DESTIN_ID852 1.8796272 0.2934745 6.405 1.51e-10 ***
DESTIN_ID859 2.9972882 0.2892756 10.361 < 2e-16 ***
DESTIN_ID860 4.8020666 0.2887633 16.630 < 2e-16 ***
DESTIN_ID861 5.4906916 0.2886973 19.019 < 2e-16 ***
DESTIN_ID862 1.8457018 0.2922197 6.316 2.68e-10 ***
DESTIN_ID863 3.1473912 0.2892568 10.881 < 2e-16 ***
DESTIN_ID864 1.6823651 0.2902764 5.796 6.80e-09 ***
DESTIN_ID865 4.4252922 0.2887738 15.324 < 2e-16 ***
DESTIN_ID866 2.3258762 0.2893840 8.037 9.18e-16 ***
DESTIN_ID867 4.2559217 0.2888196 14.736 < 2e-16 ***
DESTIN_ID869 1.6897542 0.3021093 5.593 2.23e-08 ***
DESTIN_ID871 1.7194814 0.2925691 5.877 4.17e-09 ***
DESTIN_ID872 5.7293393 0.2887463 19.842 < 2e-16 ***
DESTIN_ID878 3.4409589 0.2889222 11.910 < 2e-16 ***
DESTIN_ID879 4.0959631 0.2887542 14.185 < 2e-16 ***
DESTIN_ID880 3.9921751 0.2887970 13.823 < 2e-16 ***
DESTIN_ID882 3.4078198 0.2890216 11.791 < 2e-16 ***
DESTIN_ID883 2.6376927 0.2893590 9.116 < 2e-16 ***
DESTIN_ID884 2.4240144 0.2895205 8.373 < 2e-16 ***
DESTIN_ID885 4.0716600 0.2887779 14.100 < 2e-16 ***
DESTIN_ID886 3.8494014 0.2889537 13.322 < 2e-16 ***
DESTIN_ID890 1.7917350 0.2904373 6.169 6.87e-10 ***
DESTIN_ID891 1.7582622 0.3818821 4.604 4.14e-06 ***
DESTIN_ID897 3.3933752 0.2890082 11.741 < 2e-16 ***
DESTIN_ID898 3.5143216 0.2888956 12.165 < 2e-16 ***
DESTIN_ID899 2.7937563 0.2890656 9.665 < 2e-16 ***
DESTIN_ID900 2.5952538 0.2892809 8.971 < 2e-16 ***
DESTIN_ID901 3.6875076 0.2888753 12.765 < 2e-16 ***
DESTIN_ID902 3.0323927 0.2891906 10.486 < 2e-16 ***
DESTIN_ID903 2.4157117 0.2913130 8.292 < 2e-16 ***
DESTIN_ID904 4.5842604 0.2887644 15.875 < 2e-16 ***
DESTIN_ID905 3.9690434 0.2888918 13.739 < 2e-16 ***
DESTIN_ID907 2.1447895 0.2932951 7.313 2.62e-13 ***
DESTIN_ID909 4.9535039 0.2887404 17.156 < 2e-16 ***
DESTIN_ID910 5.2869879 0.2887270 18.311 < 2e-16 ***
DESTIN_ID915 1.8647298 0.2927624 6.369 1.90e-10 ***
DESTIN_ID916 3.4202105 0.2892890 11.823 < 2e-16 ***
DESTIN_ID917 2.5596248 0.2893894 8.845 < 2e-16 ***
DESTIN_ID918 2.5256641 0.2893137 8.730 < 2e-16 ***
DESTIN_ID919 1.8377320 0.2902272 6.332 2.42e-10 ***
DESTIN_ID920 4.8341597 0.2887423 16.742 < 2e-16 ***
DESTIN_ID922 3.0813131 0.2895140 10.643 < 2e-16 ***
DESTIN_ID923 4.3967941 0.2887918 15.225 < 2e-16 ***
DESTIN_ID927 3.2978726 0.2892160 11.403 < 2e-16 ***
DESTIN_ID928 4.1427622 0.2888229 14.344 < 2e-16 ***
DESTIN_ID929 1.9620724 0.2912318 6.737 1.62e-11 ***
DESTIN_ID935 2.8386815 0.2892945 9.812 < 2e-16 ***
DESTIN_ID936 3.4159463 0.2889203 11.823 < 2e-16 ***
DESTIN_ID937 3.7901764 0.2888365 13.122 < 2e-16 ***
DESTIN_ID938 2.9520766 0.2890907 10.212 < 2e-16 ***
DESTIN_ID939 3.7950274 0.2888256 13.140 < 2e-16 ***
DESTIN_ID945 3.9274709 0.2893754 13.572 < 2e-16 ***
DESTIN_ID947 4.2427208 0.2887770 14.692 < 2e-16 ***
DESTIN_ID948 4.3410034 0.2888310 15.030 < 2e-16 ***
DESTIN_ID953 4.0611325 0.2888353 14.060 < 2e-16 ***
DESTIN_ID954 2.9415116 0.2890652 10.176 < 2e-16 ***
DESTIN_ID955 3.8636344 0.2888336 13.377 < 2e-16 ***
DESTIN_ID956 2.9755367 0.2891105 10.292 < 2e-16 ***
DESTIN_ID964 0.8596746 0.3282139 2.619 0.008812 **
DESTIN_ID966 4.7937719 0.2887476 16.602 < 2e-16 ***
DESTIN_ID967 4.6943805 0.2888509 16.252 < 2e-16 ***
DESTIN_ID972 3.2423998 0.2890657 11.217 < 2e-16 ***
DESTIN_ID973 1.8254479 0.2902716 6.289 3.20e-10 ***
DESTIN_ID974 2.2714295 0.2892721 7.852 4.09e-15 ***
DESTIN_ID975 2.7227464 0.2891820 9.415 < 2e-16 ***
DESTIN_ID977 4.0025266 0.2888285 13.858 < 2e-16 ***
DESTIN_ID983 0.9928909 0.3687356 2.693 0.007088 **
DESTIN_ID985 3.8413711 0.2888822 13.297 < 2e-16 ***
DESTIN_ID986 2.2841425 0.2898096 7.882 3.23e-15 ***
DESTIN_ID99 0.9116137 0.3872986 2.354 0.018584 *
DESTIN_ID990 1.0691271 0.2949534 3.625 0.000289 ***
DESTIN_ID991 1.7623288 0.2933455 6.008 1.88e-09 ***
DESTIN_ID992 1.2140866 0.2954173 4.110 3.96e-05 ***
DESTIN_ID993 4.3647517 0.2887443 15.116 < 2e-16 ***
DESTIN_ID994 1.9641337 0.2904980 6.761 1.37e-11 ***
DESTIN_ID995 3.4671156 0.2889292 12.000 < 2e-16 ***
log(dists) -1.4918133 0.0004486 -3325.582 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 29522779 on 62704 degrees of freedom
Residual deviance: 8797912 on 61876 degrees of freedom
AIC: 9096670
Number of Fisher Scoring iterations: 7It can be seen that most p-value for each factor is much lower than 0.05, showing that most of them are statistically significant.
Let’s calculated the R-Squared value.
CalcRSquared(decSIM$data$TOTAL_TRIP, decSIM$fitted.values)[1] 0.4795972The R-Squared value indicates that the model can account for roughly 47.96% of the variation in the number of trips between each pair of origin-destination.
Doubly Constrained Model
The Doubly Constrained Model will remove all parameter from both the destination and origin, considering only the flows. This model recreates the interaction but do not provide any information on the propulsiveness and attractiveness of different factors (Farmer & Oshan, 2017).
dbcSIM <- glm(TOTAL_TRIP ~
ORIG_ID+
DESTIN_ID+
log(dists),
family = poisson(link = 'log'),
data = final_df,
na.action = na.exclude)summary(dbcSIM)
Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + DESTIN_ID + log(dists),
family = poisson(link = "log"), data = final_df, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 10.4310925 0.2978416 35.022 < 2e-16 ***
ORIG_ID1001 2.7754328 0.0758391 36.596 < 2e-16 ***
ORIG_ID1002 -1.7220653 0.1468629 -11.726 < 2e-16 ***
ORIG_ID1003 -0.1050412 0.0828673 -1.268 0.204947
ORIG_ID1004 3.8688791 0.0733498 52.746 < 2e-16 ***
ORIG_ID1005 1.0588770 0.0752656 14.069 < 2e-16 ***
ORIG_ID101 4.6768380 0.0743947 62.865 < 2e-16 ***
ORIG_ID1010 0.6964370 0.0755526 9.218 < 2e-16 ***
ORIG_ID1011 0.3053156 0.0773245 3.948 7.86e-05 ***
ORIG_ID1012 -0.3035267 0.0813000 -3.733 0.000189 ***
ORIG_ID1013 1.2450565 0.0743601 16.744 < 2e-16 ***
ORIG_ID1014 0.7526468 0.0763005 9.864 < 2e-16 ***
ORIG_ID102 -2.3116921 0.1872970 -12.342 < 2e-16 ***
ORIG_ID1023 1.8718268 0.0738116 25.360 < 2e-16 ***
ORIG_ID1024 1.9509861 0.0736738 26.481 < 2e-16 ***
ORIG_ID1025 2.3582143 0.0742603 31.756 < 2e-16 ***
ORIG_ID1028 0.4533870 0.0763183 5.941 2.84e-09 ***
ORIG_ID1030 -0.3575707 0.0835015 -4.282 1.85e-05 ***
ORIG_ID1031 1.8658225 0.0736868 25.321 < 2e-16 ***
ORIG_ID1033 1.5431184 0.0740896 20.828 < 2e-16 ***
ORIG_ID1040 -0.2626777 0.0959345 -2.738 0.006180 **
ORIG_ID1041 0.7284557 0.0763897 9.536 < 2e-16 ***
ORIG_ID1042 2.0186672 0.0736033 27.426 < 2e-16 ***
ORIG_ID1043 1.3939281 0.0743778 18.741 < 2e-16 ***
ORIG_ID1048 0.4586953 0.0756790 6.061 1.35e-09 ***
ORIG_ID1049 1.4320041 0.0739063 19.376 < 2e-16 ***
ORIG_ID1050 2.3320868 0.0735051 31.727 < 2e-16 ***
ORIG_ID1061 2.5485337 0.0736728 34.593 < 2e-16 ***
ORIG_ID1062 2.7309578 0.0735536 37.129 < 2e-16 ***
ORIG_ID1063 0.8729493 0.0759756 11.490 < 2e-16 ***
ORIG_ID1064 -0.7635956 0.2063069 -3.701 0.000215 ***
ORIG_ID1066 1.1929544 0.0742964 16.057 < 2e-16 ***
ORIG_ID1067 1.6302567 0.0738077 22.088 < 2e-16 ***
ORIG_ID1068 2.1946106 0.0735236 29.849 < 2e-16 ***
ORIG_ID1069 1.2724123 0.0740280 17.188 < 2e-16 ***
ORIG_ID1071 0.5968840 0.0758039 7.874 3.43e-15 ***
ORIG_ID1078 -0.5924827 0.1029501 -5.755 8.66e-09 ***
ORIG_ID1080 1.8152737 0.0739494 24.548 < 2e-16 ***
ORIG_ID1081 1.8095432 0.0740084 24.450 < 2e-16 ***
ORIG_ID1082 1.1877726 0.0759125 15.647 < 2e-16 ***
ORIG_ID1086 1.0262281 0.0743830 13.797 < 2e-16 ***
ORIG_ID1087 1.5668995 0.0738183 21.226 < 2e-16 ***
ORIG_ID1089 1.7582681 0.0738546 23.807 < 2e-16 ***
ORIG_ID1090 0.7758343 0.0750624 10.336 < 2e-16 ***
ORIG_ID1097 1.5398543 0.0831298 18.523 < 2e-16 ***
ORIG_ID1100 2.2146495 0.0737437 30.032 < 2e-16 ***
ORIG_ID1101 -0.1779375 0.0896731 -1.984 0.047223 *
ORIG_ID1102 0.5017051 0.0816010 6.148 7.83e-10 ***
ORIG_ID1104 1.8968553 0.0736790 25.745 < 2e-16 ***
ORIG_ID1105 1.7629435 0.0736350 23.942 < 2e-16 ***
ORIG_ID1106 1.2759050 0.0753044 16.943 < 2e-16 ***
ORIG_ID1107 0.6394160 0.0752939 8.492 < 2e-16 ***
ORIG_ID1108 0.9768358 0.0746647 13.083 < 2e-16 ***
ORIG_ID1115 -0.6214128 0.1066031 -5.829 5.57e-09 ***
ORIG_ID1116 0.8933824 0.0891423 10.022 < 2e-16 ***
ORIG_ID1119 0.2791895 0.0766194 3.644 0.000269 ***
ORIG_ID1120 1.2684779 0.0760844 16.672 < 2e-16 ***
ORIG_ID1123 0.4678125 0.0749107 6.245 4.24e-10 ***
ORIG_ID1124 1.0546134 0.0741507 14.223 < 2e-16 ***
ORIG_ID1125 1.7827081 0.0736451 24.207 < 2e-16 ***
ORIG_ID1128 1.5868008 0.0739741 21.451 < 2e-16 ***
ORIG_ID1138 0.9343390 0.0750328 12.452 < 2e-16 ***
ORIG_ID1139 2.2003353 0.0740634 29.709 < 2e-16 ***
ORIG_ID1140 1.5778046 0.0754712 20.906 < 2e-16 ***
ORIG_ID1142 0.2991448 0.0750981 3.983 6.79e-05 ***
ORIG_ID1143 1.9983353 0.0735126 27.184 < 2e-16 ***
ORIG_ID1144 0.7768248 0.0748878 10.373 < 2e-16 ***
ORIG_ID1145 1.0088526 0.0747013 13.505 < 2e-16 ***
ORIG_ID1146 1.3284454 0.0744099 17.853 < 2e-16 ***
ORIG_ID1147 0.7982002 0.0767239 10.404 < 2e-16 ***
ORIG_ID1152 -2.1681757 0.1535419 -14.121 < 2e-16 ***
ORIG_ID1153 1.1068219 0.0758782 14.587 < 2e-16 ***
ORIG_ID1157 2.4599706 0.0736736 33.390 < 2e-16 ***
ORIG_ID1158 0.9014158 0.0757400 11.901 < 2e-16 ***
ORIG_ID116 4.4177538 0.0786216 56.190 < 2e-16 ***
ORIG_ID1161 2.8742070 0.0734311 39.142 < 2e-16 ***
ORIG_ID1162 1.7488134 0.0736415 23.748 < 2e-16 ***
ORIG_ID1163 2.4080847 0.0734635 32.779 < 2e-16 ***
ORIG_ID1164 1.0130876 0.0747091 13.560 < 2e-16 ***
ORIG_ID1167 0.2382702 0.0809426 2.944 0.003243 **
ORIG_ID117 0.4618132 0.2059829 2.242 0.024962 *
ORIG_ID1171 -0.7979885 0.1053635 -7.574 3.63e-14 ***
ORIG_ID1172 2.0580695 0.0745399 27.610 < 2e-16 ***
ORIG_ID1173 0.9166581 0.0766275 11.963 < 2e-16 ***
ORIG_ID1176 1.1839185 0.0744894 15.894 < 2e-16 ***
ORIG_ID1177 2.0141865 0.0741610 27.160 < 2e-16 ***
ORIG_ID118 0.3670703 0.0968323 3.791 0.000150 ***
ORIG_ID1180 2.0207737 0.0735771 27.465 < 2e-16 ***
ORIG_ID1181 1.8119265 0.0735337 24.641 < 2e-16 ***
ORIG_ID1183 -0.7291457 0.0824674 -8.842 < 2e-16 ***
ORIG_ID1184 1.5704364 0.0739319 21.242 < 2e-16 ***
ORIG_ID1186 -1.3408190 0.1231967 -10.884 < 2e-16 ***
ORIG_ID119 -0.5801333 0.0900848 -6.440 1.20e-10 ***
ORIG_ID1192 -0.6232604 0.0858844 -7.257 3.96e-13 ***
ORIG_ID1193 0.1984993 0.0768782 2.582 0.009823 **
ORIG_ID1194 -0.6107648 0.0807192 -7.567 3.83e-14 ***
ORIG_ID1195 2.7801158 0.0735663 37.791 < 2e-16 ***
ORIG_ID1196 1.2870185 0.0755276 17.040 < 2e-16 ***
ORIG_ID1199 -0.2976013 0.0767667 -3.877 0.000106 ***
ORIG_ID120 -1.1556931 0.0993110 -11.637 < 2e-16 ***
ORIG_ID1200 1.7101369 0.0736085 23.233 < 2e-16 ***
ORIG_ID1201 1.6711758 0.0736244 22.699 < 2e-16 ***
ORIG_ID1202 1.0431380 0.0740478 14.087 < 2e-16 ***
ORIG_ID1203 1.2099167 0.0747406 16.188 < 2e-16 ***
ORIG_ID1204 1.0702911 0.0752602 14.221 < 2e-16 ***
ORIG_ID1205 -1.9209040 0.2685392 -7.153 8.48e-13 ***
ORIG_ID1207 0.7259643 0.0760014 9.552 < 2e-16 ***
ORIG_ID1208 1.0140026 0.0756533 13.403 < 2e-16 ***
ORIG_ID1209 1.2053231 0.0756125 15.941 < 2e-16 ***
ORIG_ID121 -0.5947091 0.0928025 -6.408 1.47e-10 ***
ORIG_ID1210 -1.3920879 0.1361252 -10.227 < 2e-16 ***
ORIG_ID1211 -1.2443560 0.0926119 -13.436 < 2e-16 ***
ORIG_ID1212 -1.9565631 0.1067667 -18.326 < 2e-16 ***
ORIG_ID1213 3.0357561 0.0734586 41.326 < 2e-16 ***
ORIG_ID1214 1.7273815 0.0741366 23.300 < 2e-16 ***
ORIG_ID1218 1.6012212 0.0739506 21.653 < 2e-16 ***
ORIG_ID1219 2.7637823 0.0733998 37.654 < 2e-16 ***
ORIG_ID122 0.9406783 0.1176571 7.995 1.29e-15 ***
ORIG_ID1220 1.5048936 0.0736651 20.429 < 2e-16 ***
ORIG_ID1221 1.9680142 0.0736026 26.738 < 2e-16 ***
ORIG_ID1222 0.7357257 0.0760711 9.672 < 2e-16 ***
ORIG_ID1225 1.6305811 0.0739958 22.036 < 2e-16 ***
ORIG_ID1226 0.3742663 0.0763507 4.902 9.49e-07 ***
ORIG_ID1227 1.3262722 0.0746517 17.766 < 2e-16 ***
ORIG_ID1229 -0.6331597 0.0877507 -7.215 5.38e-13 ***
ORIG_ID1230 1.4904910 0.0742731 20.068 < 2e-16 ***
ORIG_ID1231 1.6097569 0.0739055 21.781 < 2e-16 ***
ORIG_ID1232 1.4890604 0.0740172 20.118 < 2e-16 ***
ORIG_ID1233 2.5034317 0.0737566 33.942 < 2e-16 ***
ORIG_ID1234 -0.8244409 0.1078743 -7.643 2.13e-14 ***
ORIG_ID1238 0.7333855 0.0742507 9.877 < 2e-16 ***
ORIG_ID1239 0.3276015 0.0745718 4.393 1.12e-05 ***
ORIG_ID1240 2.3652839 0.0734105 32.220 < 2e-16 ***
ORIG_ID1241 1.0096368 0.0746907 13.518 < 2e-16 ***
ORIG_ID1242 -0.3060050 0.0784075 -3.903 9.51e-05 ***
ORIG_ID1243 -1.0861836 0.0890511 -12.197 < 2e-16 ***
ORIG_ID1244 0.3066139 0.0755871 4.056 4.98e-05 ***
ORIG_ID1245 1.5492594 0.0745192 20.790 < 2e-16 ***
ORIG_ID1246 0.7702609 0.0766723 10.046 < 2e-16 ***
ORIG_ID1249 -1.0352433 0.0933437 -11.091 < 2e-16 ***
ORIG_ID1250 2.9639714 0.0734415 40.358 < 2e-16 ***
ORIG_ID1251 2.8125609 0.0734967 38.268 < 2e-16 ***
ORIG_ID1252 1.9471866 0.0740668 26.290 < 2e-16 ***
ORIG_ID1253 -0.3502908 0.0823006 -4.256 2.08e-05 ***
ORIG_ID1256 1.2267608 0.0739401 16.591 < 2e-16 ***
ORIG_ID1257 0.7162959 0.0741285 9.663 < 2e-16 ***
ORIG_ID1258 1.2449235 0.0737459 16.881 < 2e-16 ***
ORIG_ID1259 1.0923739 0.0739926 14.763 < 2e-16 ***
ORIG_ID1260 0.7548736 0.0762750 9.897 < 2e-16 ***
ORIG_ID1261 -0.4052100 0.0777894 -5.209 1.90e-07 ***
ORIG_ID1262 1.9501384 0.0736617 26.474 < 2e-16 ***
ORIG_ID1263 1.4813637 0.0738912 20.048 < 2e-16 ***
ORIG_ID1264 2.0510326 0.0737102 27.826 < 2e-16 ***
ORIG_ID1265 1.8303617 0.0740081 24.732 < 2e-16 ***
ORIG_ID1266 0.9172652 0.0762359 12.032 < 2e-16 ***
ORIG_ID1268 1.1850411 0.0748401 15.834 < 2e-16 ***
ORIG_ID1269 2.1935343 0.0735786 29.812 < 2e-16 ***
ORIG_ID1270 2.3169607 0.0736546 31.457 < 2e-16 ***
ORIG_ID1272 2.4159048 0.0764386 31.606 < 2e-16 ***
ORIG_ID1276 1.7268127 0.0735752 23.470 < 2e-16 ***
ORIG_ID1277 0.8491343 0.0740880 11.461 < 2e-16 ***
ORIG_ID1278 2.1176001 0.0734418 28.834 < 2e-16 ***
ORIG_ID1279 1.8557172 0.0736130 25.209 < 2e-16 ***
ORIG_ID1280 1.0528032 0.0739810 14.231 < 2e-16 ***
ORIG_ID1281 0.7646471 0.0744670 10.268 < 2e-16 ***
ORIG_ID1282 0.8485914 0.0743930 11.407 < 2e-16 ***
ORIG_ID1283 1.3833914 0.0738647 18.729 < 2e-16 ***
ORIG_ID1284 1.8378419 0.0737395 24.923 < 2e-16 ***
ORIG_ID1285 1.3880159 0.0742961 18.682 < 2e-16 ***
ORIG_ID1288 1.9477976 0.0739827 26.328 < 2e-16 ***
ORIG_ID1289 2.8887136 0.0735668 39.267 < 2e-16 ***
ORIG_ID1294 1.5502979 0.0738221 21.000 < 2e-16 ***
ORIG_ID1295 2.8537496 0.0733566 38.902 < 2e-16 ***
ORIG_ID1296 1.8118974 0.0734975 24.653 < 2e-16 ***
ORIG_ID1297 0.3262191 0.0764668 4.266 1.99e-05 ***
ORIG_ID1298 2.1228920 0.0735384 28.868 < 2e-16 ***
ORIG_ID1299 1.6322764 0.0736418 22.165 < 2e-16 ***
ORIG_ID1300 -0.6528614 0.0797729 -8.184 2.75e-16 ***
ORIG_ID1301 2.0530362 0.0735846 27.900 < 2e-16 ***
ORIG_ID1302 2.2230186 0.0734815 30.253 < 2e-16 ***
ORIG_ID1303 2.4303564 0.0735323 33.052 < 2e-16 ***
ORIG_ID1304 -0.0710654 0.0795375 -0.893 0.371599
ORIG_ID1306 1.5171719 0.0747434 20.298 < 2e-16 ***
ORIG_ID1307 2.7499672 0.0736370 37.345 < 2e-16 ***
ORIG_ID1308 2.2526712 0.0743057 30.316 < 2e-16 ***
ORIG_ID1314 1.3436581 0.0737641 18.216 < 2e-16 ***
ORIG_ID1315 1.3003985 0.0736783 17.650 < 2e-16 ***
ORIG_ID1316 0.8311521 0.0748322 11.107 < 2e-16 ***
ORIG_ID1317 1.0007597 0.0743325 13.463 < 2e-16 ***
ORIG_ID1318 1.7533340 0.0736679 23.801 < 2e-16 ***
ORIG_ID1319 1.9771116 0.0735676 26.875 < 2e-16 ***
ORIG_ID1320 2.8339518 0.0733960 38.612 < 2e-16 ***
ORIG_ID1321 1.6218239 0.0736899 22.009 < 2e-16 ***
ORIG_ID1322 1.5693799 0.0737446 21.281 < 2e-16 ***
ORIG_ID1323 0.5135412 0.0766440 6.700 2.08e-11 ***
ORIG_ID1326 2.8238031 0.0736596 38.336 < 2e-16 ***
ORIG_ID1327 2.4789654 0.0739513 33.522 < 2e-16 ***
ORIG_ID1332 -0.2882446 0.0775639 -3.716 0.000202 ***
ORIG_ID1333 0.6567613 0.0742146 8.849 < 2e-16 ***
ORIG_ID1334 2.0271046 0.0734358 27.604 < 2e-16 ***
ORIG_ID1335 2.4960508 0.0734242 33.995 < 2e-16 ***
ORIG_ID1336 1.4171615 0.0738796 19.182 < 2e-16 ***
ORIG_ID1337 3.1756873 0.0733221 43.311 < 2e-16 ***
ORIG_ID1338 0.8365814 0.0741554 11.281 < 2e-16 ***
ORIG_ID1339 1.0721562 0.0740006 14.488 < 2e-16 ***
ORIG_ID1340 3.2561100 0.0733366 44.400 < 2e-16 ***
ORIG_ID1341 0.2414403 0.0759329 3.180 0.001475 **
ORIG_ID1342 0.4190598 0.0775722 5.402 6.58e-08 ***
ORIG_ID1345 2.2751247 0.0740064 30.742 < 2e-16 ***
ORIG_ID1352 0.5084860 0.0758336 6.705 2.01e-11 ***
ORIG_ID1353 1.2060768 0.0737614 16.351 < 2e-16 ***
ORIG_ID1354 2.5247877 0.0733675 34.413 < 2e-16 ***
ORIG_ID1355 2.1172209 0.0735732 28.777 < 2e-16 ***
ORIG_ID1356 1.9537534 0.0735558 26.562 < 2e-16 ***
ORIG_ID1357 2.1119855 0.0734866 28.740 < 2e-16 ***
ORIG_ID1358 1.9736618 0.0738821 26.714 < 2e-16 ***
ORIG_ID1359 2.2355859 0.0734835 30.423 < 2e-16 ***
ORIG_ID136 4.3045361 0.0781941 55.049 < 2e-16 ***
ORIG_ID1360 1.7685405 0.0737016 23.996 < 2e-16 ***
ORIG_ID1364 -2.2401379 0.1619233 -13.835 < 2e-16 ***
ORIG_ID137 0.4461821 0.1060511 4.207 2.59e-05 ***
ORIG_ID1370 -3.9391116 1.0028232 -3.928 8.56e-05 ***
ORIG_ID1371 0.4228589 0.0759768 5.566 2.61e-08 ***
ORIG_ID1372 2.0150206 0.0734771 27.424 < 2e-16 ***
ORIG_ID1373 1.5809708 0.0737254 21.444 < 2e-16 ***
ORIG_ID1374 1.3447582 0.0739993 18.173 < 2e-16 ***
ORIG_ID1375 1.9452044 0.0737807 26.365 < 2e-16 ***
ORIG_ID1376 1.3956066 0.0738120 18.908 < 2e-16 ***
ORIG_ID1377 -0.4292409 0.0775020 -5.538 3.05e-08 ***
ORIG_ID1378 2.3696621 0.0735044 32.238 < 2e-16 ***
ORIG_ID1379 1.3007033 0.0765884 16.983 < 2e-16 ***
ORIG_ID138 0.6854440 0.1341653 5.109 3.24e-07 ***
ORIG_ID1380 1.1769939 0.0753892 15.612 < 2e-16 ***
ORIG_ID1383 0.2596266 0.0826014 3.143 0.001672 **
ORIG_ID1389 1.7179256 0.0852902 20.142 < 2e-16 ***
ORIG_ID139 1.5565155 0.0885751 17.573 < 2e-16 ***
ORIG_ID1390 0.5994609 0.0766988 7.816 5.46e-15 ***
ORIG_ID1391 0.7770724 0.0743692 10.449 < 2e-16 ***
ORIG_ID1392 1.6947364 0.0735560 23.040 < 2e-16 ***
ORIG_ID1393 1.6829565 0.0735810 22.872 < 2e-16 ***
ORIG_ID1394 1.7167461 0.0736420 23.312 < 2e-16 ***
ORIG_ID1395 2.7773277 0.0737638 37.652 < 2e-16 ***
ORIG_ID1396 0.2557296 0.0767069 3.334 0.000857 ***
ORIG_ID1397 0.7938849 0.0806857 9.839 < 2e-16 ***
ORIG_ID1398 1.6688392 0.0742023 22.490 < 2e-16 ***
ORIG_ID140 1.3092601 0.0772378 16.951 < 2e-16 ***
ORIG_ID1401 -0.5372353 0.0964275 -5.571 2.53e-08 ***
ORIG_ID1408 0.6922816 0.0971039 7.129 1.01e-12 ***
ORIG_ID1409 0.7522611 0.0760893 9.887 < 2e-16 ***
ORIG_ID141 -1.6602494 0.1219319 -13.616 < 2e-16 ***
ORIG_ID1410 -0.2585159 0.0804650 -3.213 0.001315 **
ORIG_ID1411 2.0450409 0.0734766 27.833 < 2e-16 ***
ORIG_ID1412 2.3270949 0.0734528 31.682 < 2e-16 ***
ORIG_ID1413 1.8521126 0.0738057 25.094 < 2e-16 ***
ORIG_ID1414 -0.5807894 0.0793228 -7.322 2.45e-13 ***
ORIG_ID1415 0.9185685 0.0742869 12.365 < 2e-16 ***
ORIG_ID1416 0.2833732 0.0758420 3.736 0.000187 ***
ORIG_ID1417 0.2641064 0.0765834 3.449 0.000563 ***
ORIG_ID1418 -0.1885192 0.0804425 -2.344 0.019102 *
ORIG_ID1419 -1.5328737 0.1240313 -12.359 < 2e-16 ***
ORIG_ID142 -0.0651167 0.1016463 -0.641 0.521769
ORIG_ID1420 -0.5989208 0.1003615 -5.968 2.41e-09 ***
ORIG_ID1428 -1.8714841 0.1988047 -9.414 < 2e-16 ***
ORIG_ID1430 0.7811412 0.0759342 10.287 < 2e-16 ***
ORIG_ID1431 -0.5384906 0.0771198 -6.983 2.90e-12 ***
ORIG_ID1432 1.9192863 0.0735299 26.102 < 2e-16 ***
ORIG_ID1433 0.2685875 0.0811204 3.311 0.000930 ***
ORIG_ID1434 0.3833023 0.0753898 5.084 3.69e-07 ***
ORIG_ID1435 1.9511089 0.0738862 26.407 < 2e-16 ***
ORIG_ID1436 0.2612488 0.0760270 3.436 0.000590 ***
ORIG_ID1439 0.2057409 0.0801300 2.568 0.010241 *
ORIG_ID1440 -0.6427462 0.1022344 -6.287 3.24e-10 ***
ORIG_ID1448 2.1944129 0.0749748 29.269 < 2e-16 ***
ORIG_ID1449 1.1904858 0.0738332 16.124 < 2e-16 ***
ORIG_ID1450 1.6469113 0.0737951 22.317 < 2e-16 ***
ORIG_ID1451 2.1793197 0.0735344 29.637 < 2e-16 ***
ORIG_ID1452 0.6794715 0.0743829 9.135 < 2e-16 ***
ORIG_ID1453 1.9272122 0.0735613 26.199 < 2e-16 ***
ORIG_ID1454 1.7132010 0.0747176 22.929 < 2e-16 ***
ORIG_ID1455 0.5381690 0.0751985 7.157 8.27e-13 ***
ORIG_ID1456 2.3213943 0.0737140 31.492 < 2e-16 ***
ORIG_ID1457 2.1138167 0.0739775 28.574 < 2e-16 ***
ORIG_ID1458 -0.4208697 0.1022752 -4.115 3.87e-05 ***
ORIG_ID1468 1.4666231 0.0763571 19.207 < 2e-16 ***
ORIG_ID1469 2.0096141 0.0735098 27.338 < 2e-16 ***
ORIG_ID1470 1.0920828 0.0742876 14.701 < 2e-16 ***
ORIG_ID1471 1.9284911 0.0736717 26.177 < 2e-16 ***
ORIG_ID1472 3.2291336 0.0733465 44.026 < 2e-16 ***
ORIG_ID1473 0.8816589 0.0742748 11.870 < 2e-16 ***
ORIG_ID1474 2.5528299 0.0734832 34.740 < 2e-16 ***
ORIG_ID1475 1.1768688 0.0746874 15.757 < 2e-16 ***
ORIG_ID1476 1.2929134 0.0746117 17.329 < 2e-16 ***
ORIG_ID1477 -1.6476895 0.1206410 -13.658 < 2e-16 ***
ORIG_ID1486 -0.3048776 0.0847486 -3.597 0.000321 ***
ORIG_ID1487 1.8143168 0.0735850 24.656 < 2e-16 ***
ORIG_ID1488 0.2192919 0.0773039 2.837 0.004558 **
ORIG_ID1489 1.4004548 0.0739506 18.938 < 2e-16 ***
ORIG_ID1490 0.7740363 0.0751366 10.302 < 2e-16 ***
ORIG_ID1491 1.4744360 0.0737201 20.000 < 2e-16 ***
ORIG_ID1492 1.6838870 0.0737083 22.845 < 2e-16 ***
ORIG_ID1493 2.2638376 0.0735770 30.768 < 2e-16 ***
ORIG_ID1494 2.2531279 0.0738492 30.510 < 2e-16 ***
ORIG_ID1506 -1.5133001 0.1181597 -12.807 < 2e-16 ***
ORIG_ID1507 2.2028595 0.0734821 29.978 < 2e-16 ***
ORIG_ID1508 1.1630147 0.0739845 15.720 < 2e-16 ***
ORIG_ID1509 1.6246015 0.0751882 21.607 < 2e-16 ***
ORIG_ID1510 1.6773182 0.0737043 22.757 < 2e-16 ***
ORIG_ID1512 2.4020181 0.0734728 32.693 < 2e-16 ***
ORIG_ID1513 2.6890398 0.0739306 36.373 < 2e-16 ***
ORIG_ID1514 1.9087927 0.0741908 25.728 < 2e-16 ***
ORIG_ID1524 1.0090897 0.0760165 13.275 < 2e-16 ***
ORIG_ID1525 1.7091188 0.0737102 23.187 < 2e-16 ***
ORIG_ID1526 1.6894417 0.0737074 22.921 < 2e-16 ***
ORIG_ID1527 1.4249725 0.0744536 19.139 < 2e-16 ***
ORIG_ID1528 1.0081535 0.0742356 13.580 < 2e-16 ***
ORIG_ID1529 0.4404822 0.0751659 5.860 4.62e-09 ***
ORIG_ID1530 0.8405125 0.0746263 11.263 < 2e-16 ***
ORIG_ID1531 1.9081591 0.0736611 25.905 < 2e-16 ***
ORIG_ID1532 1.2463061 0.0749212 16.635 < 2e-16 ***
ORIG_ID1544 1.6332483 0.0739549 22.084 < 2e-16 ***
ORIG_ID1545 1.4518335 0.0737206 19.694 < 2e-16 ***
ORIG_ID1546 1.9754347 0.0736008 26.840 < 2e-16 ***
ORIG_ID1547 1.3051675 0.0740427 17.627 < 2e-16 ***
ORIG_ID1548 2.1022802 0.0736309 28.552 < 2e-16 ***
ORIG_ID1549 2.7875061 0.0734438 37.954 < 2e-16 ***
ORIG_ID1550 2.5530357 0.0734254 34.770 < 2e-16 ***
ORIG_ID1551 -0.1113044 0.0768390 -1.449 0.147466
ORIG_ID1552 2.4110914 0.0736812 32.723 < 2e-16 ***
ORIG_ID156 1.7786223 0.1136453 15.651 < 2e-16 ***
ORIG_ID1562 -2.6464342 0.2868812 -9.225 < 2e-16 ***
ORIG_ID1563 1.6079243 0.0738081 21.785 < 2e-16 ***
ORIG_ID1564 2.2322666 0.0734945 30.373 < 2e-16 ***
ORIG_ID1565 1.3492920 0.0739015 18.258 < 2e-16 ***
ORIG_ID1566 -0.2711126 0.0790896 -3.428 0.000608 ***
ORIG_ID1567 1.8331573 0.0737116 24.869 < 2e-16 ***
ORIG_ID1568 2.1114203 0.0735041 28.725 < 2e-16 ***
ORIG_ID1569 1.6077915 0.0737098 21.812 < 2e-16 ***
ORIG_ID1570 1.9174404 0.0736594 26.031 < 2e-16 ***
ORIG_ID1571 2.8715804 0.0744193 38.587 < 2e-16 ***
ORIG_ID158 -0.2570140 0.1117492 -2.300 0.021453 *
ORIG_ID1582 0.8973302 0.0744435 12.054 < 2e-16 ***
ORIG_ID1583 2.4138947 0.0734415 32.868 < 2e-16 ***
ORIG_ID1584 1.1186917 0.0739699 15.124 < 2e-16 ***
ORIG_ID1585 0.4615187 0.0754309 6.118 9.45e-10 ***
ORIG_ID1587 2.1199382 0.0735741 28.814 < 2e-16 ***
ORIG_ID1588 2.9331152 0.0733787 39.972 < 2e-16 ***
ORIG_ID1589 2.0218762 0.0735681 27.483 < 2e-16 ***
ORIG_ID159 -0.1030994 0.0959131 -1.075 0.282408
ORIG_ID1590 1.6767369 0.0738080 22.718 < 2e-16 ***
ORIG_ID1591 -1.0958932 0.0957810 -11.442 < 2e-16 ***
ORIG_ID160 1.3121645 0.0754199 17.398 < 2e-16 ***
ORIG_ID1600 -0.9703750 0.1676507 -5.788 7.12e-09 ***
ORIG_ID1601 1.2483811 0.0739091 16.891 < 2e-16 ***
ORIG_ID1602 2.0218799 0.0737903 27.400 < 2e-16 ***
ORIG_ID1603 0.7140052 0.0748710 9.536 < 2e-16 ***
ORIG_ID1604 2.5814901 0.0747744 34.524 < 2e-16 ***
ORIG_ID1606 1.9012759 0.0736122 25.828 < 2e-16 ***
ORIG_ID1607 1.3840276 0.0738643 18.737 < 2e-16 ***
ORIG_ID1608 3.0545421 0.0733827 41.625 < 2e-16 ***
ORIG_ID1609 1.9757355 0.0737324 26.796 < 2e-16 ***
ORIG_ID1610 1.5883303 0.0765655 20.745 < 2e-16 ***
ORIG_ID1620 2.4161541 0.0735202 32.864 < 2e-16 ***
ORIG_ID1621 2.1000938 0.0736121 28.529 < 2e-16 ***
ORIG_ID1622 1.5169714 0.0741673 20.453 < 2e-16 ***
ORIG_ID1623 1.1478046 0.0743309 15.442 < 2e-16 ***
ORIG_ID1624 0.9194434 0.0791995 11.609 < 2e-16 ***
ORIG_ID1625 -1.2370806 0.0920588 -13.438 < 2e-16 ***
ORIG_ID1626 2.0497107 0.0736502 27.830 < 2e-16 ***
ORIG_ID1627 2.0690290 0.0735711 28.123 < 2e-16 ***
ORIG_ID1628 1.9486230 0.0736126 26.471 < 2e-16 ***
ORIG_ID1629 1.0241613 0.0747985 13.692 < 2e-16 ***
ORIG_ID1630 0.3694740 0.0832164 4.440 9.00e-06 ***
ORIG_ID1639 1.5487370 0.0738317 20.977 < 2e-16 ***
ORIG_ID1640 2.5754638 0.0734142 35.081 < 2e-16 ***
ORIG_ID1641 2.0043098 0.0735866 27.237 < 2e-16 ***
ORIG_ID1645 1.8795266 0.0738737 25.442 < 2e-16 ***
ORIG_ID1646 1.8498422 0.0736598 25.113 < 2e-16 ***
ORIG_ID1647 3.0274348 0.0734167 41.236 < 2e-16 ***
ORIG_ID1648 -0.2750635 0.0861867 -3.191 0.001415 **
ORIG_ID1658 2.8731575 0.0734373 39.124 < 2e-16 ***
ORIG_ID1659 1.3875143 0.0738610 18.785 < 2e-16 ***
ORIG_ID1660 1.4530016 0.0737989 19.689 < 2e-16 ***
ORIG_ID1661 0.7020232 0.0749487 9.367 < 2e-16 ***
ORIG_ID1663 -1.0684349 0.1148193 -9.305 < 2e-16 ***
ORIG_ID1665 1.4401661 0.0742452 19.397 < 2e-16 ***
ORIG_ID1666 2.9670641 0.0734122 40.416 < 2e-16 ***
ORIG_ID1667 0.6300486 0.0773406 8.146 3.75e-16 ***
ORIG_ID1668 3.2024377 0.0750515 42.670 < 2e-16 ***
ORIG_ID1677 1.5566334 0.0737364 21.111 < 2e-16 ***
ORIG_ID1678 1.9409178 0.0736446 26.355 < 2e-16 ***
ORIG_ID1679 2.1015714 0.0736407 28.538 < 2e-16 ***
ORIG_ID1682 0.6779603 0.0815809 8.310 < 2e-16 ***
ORIG_ID1684 2.3762069 0.0750684 31.654 < 2e-16 ***
ORIG_ID1685 1.9209176 0.0737669 26.040 < 2e-16 ***
ORIG_ID1696 1.7481401 0.0739471 23.640 < 2e-16 ***
ORIG_ID1697 0.1213158 0.0766729 1.582 0.113592
ORIG_ID1698 2.1272913 0.0760867 27.959 < 2e-16 ***
ORIG_ID1699 1.7799447 0.0737659 24.130 < 2e-16 ***
ORIG_ID1702 -0.4569133 0.0985165 -4.638 3.52e-06 ***
ORIG_ID1704 2.0321962 0.0737679 27.549 < 2e-16 ***
ORIG_ID1705 1.8926177 0.0754858 25.073 < 2e-16 ***
ORIG_ID1715 1.8274346 0.0737105 24.792 < 2e-16 ***
ORIG_ID1716 1.0023703 0.0742200 13.505 < 2e-16 ***
ORIG_ID1717 1.2342120 0.0744322 16.582 < 2e-16 ***
ORIG_ID1718 -2.2064565 0.1331226 -16.575 < 2e-16 ***
ORIG_ID1721 -0.6048374 0.1081604 -5.592 2.24e-08 ***
ORIG_ID1723 1.3784243 0.0753493 18.294 < 2e-16 ***
ORIG_ID1734 -1.5760392 0.1107877 -14.226 < 2e-16 ***
ORIG_ID1735 1.0772622 0.0742812 14.502 < 2e-16 ***
ORIG_ID1736 1.8413950 0.0739268 24.908 < 2e-16 ***
ORIG_ID1737 1.8558130 0.0737554 25.162 < 2e-16 ***
ORIG_ID1740 0.0930324 0.0897961 1.036 0.300183
ORIG_ID1742 1.4857929 0.0752984 19.732 < 2e-16 ***
ORIG_ID1753 1.4350672 0.0741003 19.367 < 2e-16 ***
ORIG_ID1754 1.9461848 0.0735943 26.445 < 2e-16 ***
ORIG_ID1755 2.1282841 0.0736721 28.889 < 2e-16 ***
ORIG_ID1758 -0.4858923 0.0944710 -5.143 2.70e-07 ***
ORIG_ID177 0.6961807 0.0930182 7.484 7.19e-14 ***
ORIG_ID1772 -2.4248135 0.2169214 -11.178 < 2e-16 ***
ORIG_ID1773 1.1818881 0.0743907 15.888 < 2e-16 ***
ORIG_ID1774 3.5584441 0.0733227 48.531 < 2e-16 ***
ORIG_ID1775 1.1800906 0.0743433 15.874 < 2e-16 ***
ORIG_ID1776 1.9727524 0.0737321 26.756 < 2e-16 ***
ORIG_ID1778 -0.0602540 0.0940115 -0.641 0.521574
ORIG_ID178 -0.1080496 0.0866215 -1.247 0.212260
ORIG_ID179 -0.2283922 0.1428609 -1.599 0.109886
ORIG_ID1791 1.2728977 0.0744419 17.099 < 2e-16 ***
ORIG_ID1792 -0.5553577 0.0775385 -7.162 7.93e-13 ***
ORIG_ID1793 1.5894769 0.0737255 21.559 < 2e-16 ***
ORIG_ID1794 0.9455652 0.0755466 12.516 < 2e-16 ***
ORIG_ID1795 1.9733442 0.0737151 26.770 < 2e-16 ***
ORIG_ID1796 0.8590677 0.0747426 11.494 < 2e-16 ***
ORIG_ID1797 1.1953489 0.0744695 16.052 < 2e-16 ***
ORIG_ID1811 1.5856455 0.0738967 21.458 < 2e-16 ***
ORIG_ID1812 1.9654514 0.0735366 26.728 < 2e-16 ***
ORIG_ID1813 1.8697551 0.0736821 25.376 < 2e-16 ***
ORIG_ID1814 2.5527159 0.0735177 34.722 < 2e-16 ***
ORIG_ID1815 1.9424935 0.0736970 26.358 < 2e-16 ***
ORIG_ID1816 1.3540143 0.0742350 18.240 < 2e-16 ***
ORIG_ID1817 -0.2717586 0.0816346 -3.329 0.000872 ***
ORIG_ID1830 2.0498084 0.0738726 27.748 < 2e-16 ***
ORIG_ID1831 2.2383006 0.0735246 30.443 < 2e-16 ***
ORIG_ID1832 1.8389945 0.0736327 24.975 < 2e-16 ***
ORIG_ID1833 1.4587115 0.0737493 19.779 < 2e-16 ***
ORIG_ID1834 0.1157293 0.0764206 1.514 0.129931
ORIG_ID1835 2.3766136 0.0735938 32.294 < 2e-16 ***
ORIG_ID1849 1.2491519 0.0744345 16.782 < 2e-16 ***
ORIG_ID1850 1.7962426 0.0736720 24.382 < 2e-16 ***
ORIG_ID1851 -0.6381279 0.1009323 -6.322 2.58e-10 ***
ORIG_ID1852 2.3089055 0.0734467 31.436 < 2e-16 ***
ORIG_ID1853 1.3081733 0.0739723 17.685 < 2e-16 ***
ORIG_ID1854 1.6763829 0.0737669 22.725 < 2e-16 ***
ORIG_ID1855 0.8239115 0.0773478 10.652 < 2e-16 ***
ORIG_ID1868 1.8349764 0.0738116 24.860 < 2e-16 ***
ORIG_ID1869 0.8981684 0.0743964 12.073 < 2e-16 ***
ORIG_ID1870 -0.0045837 0.0813987 -0.056 0.955093
ORIG_ID1871 3.5392051 0.0733297 48.264 < 2e-16 ***
ORIG_ID1872 1.2568623 0.0744703 16.877 < 2e-16 ***
ORIG_ID1873 1.7666114 0.0738561 23.920 < 2e-16 ***
ORIG_ID1887 0.9646223 0.0748792 12.882 < 2e-16 ***
ORIG_ID1888 2.1214465 0.0736507 28.804 < 2e-16 ***
ORIG_ID1889 1.3180619 0.0740492 17.800 < 2e-16 ***
ORIG_ID1890 1.6997691 0.0736099 23.092 < 2e-16 ***
ORIG_ID1891 1.1355657 0.0741781 15.309 < 2e-16 ***
ORIG_ID1892 3.0630083 0.0734016 41.729 < 2e-16 ***
ORIG_ID1893 -0.5970582 0.0950454 -6.282 3.35e-10 ***
ORIG_ID1905 0.3508278 0.1017216 3.449 0.000563 ***
ORIG_ID1906 -0.2568477 0.0779948 -3.293 0.000991 ***
ORIG_ID1907 1.0544613 0.0742676 14.198 < 2e-16 ***
ORIG_ID1908 2.0268721 0.0737001 27.502 < 2e-16 ***
ORIG_ID1909 1.4839480 0.0737162 20.131 < 2e-16 ***
ORIG_ID1910 0.6890530 0.0747510 9.218 < 2e-16 ***
ORIG_ID1911 -2.1266164 0.1199567 -17.728 < 2e-16 ***
ORIG_ID1926 0.9748235 0.0753963 12.929 < 2e-16 ***
ORIG_ID1927 0.4878898 0.0754415 6.467 9.99e-11 ***
ORIG_ID1928 2.2180701 0.0735084 30.174 < 2e-16 ***
ORIG_ID1929 2.2726135 0.0736870 30.841 < 2e-16 ***
ORIG_ID1930 1.6074536 0.0738505 21.766 < 2e-16 ***
ORIG_ID1944 1.6660371 0.0748826 22.249 < 2e-16 ***
ORIG_ID1945 -0.3615392 0.0796121 -4.541 5.59e-06 ***
ORIG_ID1946 1.9717683 0.0737523 26.735 < 2e-16 ***
ORIG_ID1947 2.3837964 0.0734837 32.440 < 2e-16 ***
ORIG_ID1948 2.5091942 0.0735156 34.131 < 2e-16 ***
ORIG_ID1949 1.8395613 0.0740079 24.856 < 2e-16 ***
ORIG_ID195 1.2095281 0.0940566 12.860 < 2e-16 ***
ORIG_ID196 1.2888419 0.0833114 15.470 < 2e-16 ***
ORIG_ID1965 1.1936451 0.0744073 16.042 < 2e-16 ***
ORIG_ID1966 1.0061830 0.0746775 13.474 < 2e-16 ***
ORIG_ID1967 1.3277640 0.0739078 17.965 < 2e-16 ***
ORIG_ID1968 1.8264752 0.0738971 24.716 < 2e-16 ***
ORIG_ID197 0.9146072 0.0787462 11.615 < 2e-16 ***
ORIG_ID1983 0.9222161 0.0761157 12.116 < 2e-16 ***
ORIG_ID1984 0.6093524 0.0757773 8.041 8.88e-16 ***
ORIG_ID1985 1.3570006 0.0742181 18.284 < 2e-16 ***
ORIG_ID1986 1.9145455 0.0737253 25.969 < 2e-16 ***
ORIG_ID1987 0.6358403 0.0829490 7.665 1.78e-14 ***
ORIG_ID2002 -0.6004944 0.1102982 -5.444 5.20e-08 ***
ORIG_ID2003 -0.7259765 0.0895803 -8.104 5.31e-16 ***
ORIG_ID2004 0.6495165 0.0793990 8.180 2.83e-16 ***
ORIG_ID2005 1.6085934 0.0742917 21.652 < 2e-16 ***
ORIG_ID2006 0.4849948 0.0764124 6.347 2.19e-10 ***
ORIG_ID2021 0.5058930 0.0836783 6.046 1.49e-09 ***
ORIG_ID2022 1.0398866 0.0825457 12.598 < 2e-16 ***
ORIG_ID2023 0.8738885 0.0770370 11.344 < 2e-16 ***
ORIG_ID2024 -0.3447146 0.0816035 -4.224 2.40e-05 ***
ORIG_ID2025 -0.1238299 0.0934467 -1.325 0.185125
ORIG_ID2042 -0.3290175 0.0950432 -3.462 0.000537 ***
ORIG_ID2043 0.3224895 0.0811764 3.973 7.11e-05 ***
ORIG_ID2044 0.3636652 0.0774575 4.695 2.67e-06 ***
ORIG_ID2045 0.5628569 0.0891066 6.317 2.67e-10 ***
ORIG_ID2061 0.0440254 0.0972678 0.453 0.650822
ORIG_ID2062 0.7758169 0.0796887 9.736 < 2e-16 ***
ORIG_ID2063 0.0968169 0.0803084 1.206 0.227985
ORIG_ID2064 -1.1997109 0.1100326 -10.903 < 2e-16 ***
ORIG_ID2079 1.8189061 0.0751534 24.203 < 2e-16 ***
ORIG_ID2082 -1.8858559 0.1593556 -11.834 < 2e-16 ***
ORIG_ID2083 -0.3444422 0.0820239 -4.199 2.68e-05 ***
ORIG_ID2098 -0.7671187 0.0858371 -8.937 < 2e-16 ***
ORIG_ID2099 1.3376489 0.0743506 17.991 < 2e-16 ***
ORIG_ID2102 2.8197000 0.0740474 38.080 < 2e-16 ***
ORIG_ID2115 3.8301684 0.0752672 50.888 < 2e-16 ***
ORIG_ID2119 2.0768611 0.0740357 28.052 < 2e-16 ***
ORIG_ID2121 1.2133037 0.0755382 16.062 < 2e-16 ***
ORIG_ID2137 1.6885390 0.0755528 22.349 < 2e-16 ***
ORIG_ID2140 0.3690197 0.0842295 4.381 1.18e-05 ***
ORIG_ID215 0.5618637 0.1478962 3.799 0.000145 ***
ORIG_ID2153 -1.3359050 0.1002279 -13.329 < 2e-16 ***
ORIG_ID2158 1.7869238 0.0761919 23.453 < 2e-16 ***
ORIG_ID216 -0.6092364 0.1115781 -5.460 4.76e-08 ***
ORIG_ID217 -0.6947840 0.1764305 -3.938 8.22e-05 ***
ORIG_ID2177 1.6162252 0.0763818 21.160 < 2e-16 ***
ORIG_ID2178 0.4112638 0.0856179 4.803 1.56e-06 ***
ORIG_ID2196 1.6132311 0.0853738 18.896 < 2e-16 ***
ORIG_ID2197 1.4048488 0.0781434 17.978 < 2e-16 ***
ORIG_ID2267 0.1837011 0.1095959 1.676 0.093705 .
ORIG_ID233 1.7649652 0.0848498 20.801 < 2e-16 ***
ORIG_ID234 -1.0552850 0.1111522 -9.494 < 2e-16 ***
ORIG_ID235 0.3741459 0.0876463 4.269 1.97e-05 ***
ORIG_ID252 3.6336413 0.0787312 46.153 < 2e-16 ***
ORIG_ID253 1.1204997 0.0833933 13.436 < 2e-16 ***
ORIG_ID254 0.4408375 0.0837600 5.263 1.42e-07 ***
ORIG_ID270 -0.5279570 0.2358884 -2.238 0.025210 *
ORIG_ID271 1.0291429 0.0998459 10.307 < 2e-16 ***
ORIG_ID272 0.1959440 0.0912820 2.147 0.031827 *
ORIG_ID290 2.1984032 0.0882325 24.916 < 2e-16 ***
ORIG_ID291 0.5957219 0.1164478 5.116 3.12e-07 ***
ORIG_ID292 0.0710989 0.1011804 0.703 0.482246
ORIG_ID308 3.3174535 0.0801015 41.416 < 2e-16 ***
ORIG_ID309 1.3808214 0.0861497 16.028 < 2e-16 ***
ORIG_ID310 0.3435605 0.0869833 3.950 7.82e-05 ***
ORIG_ID329 1.7569600 0.0837797 20.971 < 2e-16 ***
ORIG_ID330 0.1027453 0.0847680 1.212 0.225483
ORIG_ID347 2.0216344 0.0805549 25.096 < 2e-16 ***
ORIG_ID348 0.0053829 0.0913127 0.059 0.952992
ORIG_ID349 -1.2129311 0.1243964 -9.751 < 2e-16 ***
ORIG_ID366 2.5576795 0.0827949 30.892 < 2e-16 ***
ORIG_ID367 1.2602588 0.0861326 14.632 < 2e-16 ***
ORIG_ID368 2.7802729 0.0734101 37.873 < 2e-16 ***
ORIG_ID369 1.1020723 0.0792902 13.899 < 2e-16 ***
ORIG_ID370 1.9788300 0.0752913 26.282 < 2e-16 ***
ORIG_ID385 -0.2063693 0.1290442 -1.599 0.109773
ORIG_ID386 0.3229627 0.0855516 3.775 0.000160 ***
ORIG_ID387 -0.1316784 0.0802289 -1.641 0.100739
ORIG_ID388 1.1371990 0.0773982 14.693 < 2e-16 ***
ORIG_ID389 1.0319634 0.0782035 13.196 < 2e-16 ***
ORIG_ID40 -1.3391327 0.1801077 -7.435 1.04e-13 ***
ORIG_ID404 0.8580146 0.0937589 9.151 < 2e-16 ***
ORIG_ID405 -0.5308054 0.1069614 -4.963 6.96e-07 ***
ORIG_ID406 -0.4870227 0.0877297 -5.551 2.83e-08 ***
ORIG_ID407 1.6890422 0.0743784 22.709 < 2e-16 ***
ORIG_ID408 0.9765679 0.0760299 12.845 < 2e-16 ***
ORIG_ID42 0.6576025 0.0991381 6.633 3.29e-11 ***
ORIG_ID424 1.2175057 0.0805968 15.106 < 2e-16 ***
ORIG_ID425 -0.0498026 0.0794334 -0.627 0.530677
ORIG_ID426 2.4373924 0.0736329 33.102 < 2e-16 ***
ORIG_ID427 2.2250431 0.0751242 29.618 < 2e-16 ***
ORIG_ID442 0.5757038 0.1001634 5.748 9.05e-09 ***
ORIG_ID443 -2.7663814 0.3103494 -8.914 < 2e-16 ***
ORIG_ID444 1.2313262 0.0760685 16.187 < 2e-16 ***
ORIG_ID445 0.8447687 0.0748472 11.287 < 2e-16 ***
ORIG_ID447 -2.0162950 0.1820646 -11.075 < 2e-16 ***
ORIG_ID448 1.5529058 0.0794868 19.537 < 2e-16 ***
ORIG_ID461 0.9985606 0.0852728 11.710 < 2e-16 ***
ORIG_ID462 1.2318141 0.0779148 15.810 < 2e-16 ***
ORIG_ID463 0.0220263 0.0777204 0.283 0.776867
ORIG_ID464 2.5900352 0.0734215 35.276 < 2e-16 ***
ORIG_ID465 -0.4043409 0.0888132 -4.553 5.30e-06 ***
ORIG_ID466 0.2979955 0.0906659 3.287 0.001014 **
ORIG_ID467 -0.4566026 0.1291225 -3.536 0.000406 ***
ORIG_ID480 0.1797652 0.1097698 1.638 0.101493
ORIG_ID481 1.2922702 0.0799264 16.168 < 2e-16 ***
ORIG_ID482 0.3752927 0.0784686 4.783 1.73e-06 ***
ORIG_ID483 2.3660376 0.0734234 32.225 < 2e-16 ***
ORIG_ID484 2.6620822 0.0734880 36.225 < 2e-16 ***
ORIG_ID486 0.6510981 0.0833852 7.808 5.80e-15 ***
ORIG_ID487 -0.7020452 0.1425363 -4.925 8.42e-07 ***
ORIG_ID488 -2.1330391 0.3103072 -6.874 6.24e-12 ***
ORIG_ID499 0.2513213 0.1018492 2.468 0.013603 *
ORIG_ID500 0.1779572 0.0900269 1.977 0.048074 *
ORIG_ID501 -0.4042626 0.0777611 -5.199 2.01e-07 ***
ORIG_ID502 1.9566128 0.0735194 26.614 < 2e-16 ***
ORIG_ID503 1.6336283 0.0749930 21.784 < 2e-16 ***
ORIG_ID507 0.7375095 0.1031900 7.147 8.86e-13 ***
ORIG_ID508 -0.3033443 0.1475318 -2.056 0.039770 *
ORIG_ID518 -0.6977024 0.1452228 -4.804 1.55e-06 ***
ORIG_ID519 0.7143589 0.0859377 8.313 < 2e-16 ***
ORIG_ID520 1.1081563 0.1110956 9.975 < 2e-16 ***
ORIG_ID521 4.0686241 0.0732192 55.568 < 2e-16 ***
ORIG_ID522 1.8932325 0.0737253 25.680 < 2e-16 ***
ORIG_ID524 -1.9021351 0.1708406 -11.134 < 2e-16 ***
ORIG_ID528 -0.0710341 0.1364461 -0.521 0.602644
ORIG_ID529 0.7301320 0.1100692 6.633 3.28e-11 ***
ORIG_ID530 1.1760000 0.1037974 11.330 < 2e-16 ***
ORIG_ID537 -0.3855680 0.1212900 -3.179 0.001478 **
ORIG_ID538 0.4535153 0.0858585 5.282 1.28e-07 ***
ORIG_ID539 0.1257635 0.0764641 1.645 0.100024
ORIG_ID540 1.5227599 0.0736399 20.678 < 2e-16 ***
ORIG_ID541 -0.8483165 0.1145567 -7.405 1.31e-13 ***
ORIG_ID547 -0.3556326 0.1558601 -2.282 0.022505 *
ORIG_ID548 -0.0886313 0.1472013 -0.602 0.547101
ORIG_ID557 -0.6201326 0.0993330 -6.243 4.29e-10 ***
ORIG_ID558 -0.0460519 0.0822425 -0.560 0.575511
ORIG_ID559 -0.8152058 0.0806104 -10.113 < 2e-16 ***
ORIG_ID560 2.3170332 0.0734927 31.527 < 2e-16 ***
ORIG_ID562 -0.1122694 0.0861530 -1.303 0.192527
ORIG_ID577 -0.5924803 0.0850274 -6.968 3.21e-12 ***
ORIG_ID578 2.1538288 0.0734878 29.309 < 2e-16 ***
ORIG_ID595 0.9412682 0.0780613 12.058 < 2e-16 ***
ORIG_ID596 1.2242845 0.0745485 16.423 < 2e-16 ***
ORIG_ID597 1.5645332 0.0738536 21.184 < 2e-16 ***
ORIG_ID598 3.0085983 0.0733376 41.024 < 2e-16 ***
ORIG_ID60 0.5515879 0.2302069 2.396 0.016573 *
ORIG_ID600 3.1070013 0.0741108 41.924 < 2e-16 ***
ORIG_ID61 1.2029635 0.0814246 14.774 < 2e-16 ***
ORIG_ID613 1.5239814 0.0793119 19.215 < 2e-16 ***
ORIG_ID614 -1.1330288 0.0999629 -11.334 < 2e-16 ***
ORIG_ID615 2.7004054 0.0734693 36.756 < 2e-16 ***
ORIG_ID616 2.7111207 0.0734276 36.922 < 2e-16 ***
ORIG_ID617 1.1322822 0.0752876 15.039 < 2e-16 ***
ORIG_ID62 0.4339237 0.1590036 2.729 0.006352 **
ORIG_ID633 1.0290120 0.0773864 13.297 < 2e-16 ***
ORIG_ID634 2.0175438 0.0738251 27.329 < 2e-16 ***
ORIG_ID635 1.2286513 0.0743660 16.522 < 2e-16 ***
ORIG_ID636 2.6580125 0.0734046 36.210 < 2e-16 ***
ORIG_ID638 0.0175698 0.0824217 0.213 0.831195
ORIG_ID654 0.0332544 0.0771819 0.431 0.666572
ORIG_ID657 -0.2654196 0.0848416 -3.128 0.001758 **
ORIG_ID662 -0.6908291 0.1301058 -5.310 1.10e-07 ***
ORIG_ID671 0.6829072 0.0788439 8.662 < 2e-16 ***
ORIG_ID673 -0.1096740 0.0772172 -1.420 0.155511
ORIG_ID674 2.1299925 0.0735832 28.947 < 2e-16 ***
ORIG_ID682 1.2352856 0.0866419 14.257 < 2e-16 ***
ORIG_ID689 1.2668960 0.0782183 16.197 < 2e-16 ***
ORIG_ID690 1.7290679 0.0744791 23.215 < 2e-16 ***
ORIG_ID691 -0.7699491 0.0815955 -9.436 < 2e-16 ***
ORIG_ID692 2.8274212 0.0733775 38.533 < 2e-16 ***
ORIG_ID693 1.3635196 0.0749418 18.194 < 2e-16 ***
ORIG_ID695 2.8865918 0.0736063 39.217 < 2e-16 ***
ORIG_ID700 1.2686103 0.0827224 15.336 < 2e-16 ***
ORIG_ID710 -1.2149497 0.0845278 -14.373 < 2e-16 ***
ORIG_ID711 1.6948855 0.0736422 23.015 < 2e-16 ***
ORIG_ID712 1.0815901 0.0741732 14.582 < 2e-16 ***
ORIG_ID713 1.6981182 0.0745748 22.771 < 2e-16 ***
ORIG_ID714 2.0319570 0.0740535 27.439 < 2e-16 ***
ORIG_ID715 0.7039227 0.0759035 9.274 < 2e-16 ***
ORIG_ID727 -0.5256543 0.0957152 -5.492 3.98e-08 ***
ORIG_ID728 2.5540047 0.0736570 34.674 < 2e-16 ***
ORIG_ID729 2.7944298 0.0733934 38.075 < 2e-16 ***
ORIG_ID730 1.8586089 0.0736308 25.242 < 2e-16 ***
ORIG_ID731 2.6119925 0.0736788 35.451 < 2e-16 ***
ORIG_ID732 0.6460573 0.0775607 8.330 < 2e-16 ***
ORIG_ID733 2.4856883 0.0735063 33.816 < 2e-16 ***
ORIG_ID734 1.6987103 0.0740606 22.937 < 2e-16 ***
ORIG_ID738 0.9863047 0.0821937 12.000 < 2e-16 ***
ORIG_ID746 0.4843753 0.0840333 5.764 8.21e-09 ***
ORIG_ID748 -0.2037905 0.0767205 -2.656 0.007901 **
ORIG_ID749 1.9953843 0.0735850 27.117 < 2e-16 ***
ORIG_ID750 2.2216951 0.0735005 30.227 < 2e-16 ***
ORIG_ID751 2.0248051 0.0737888 27.441 < 2e-16 ***
ORIG_ID752 1.7992195 0.0740697 24.291 < 2e-16 ***
ORIG_ID753 3.5917471 0.0733415 48.973 < 2e-16 ***
ORIG_ID754 2.9430636 0.0736472 39.962 < 2e-16 ***
ORIG_ID757 -0.4428214 0.1066996 -4.150 3.32e-05 ***
ORIG_ID764 -0.4735174 0.1091532 -4.338 1.44e-05 ***
ORIG_ID766 1.7688909 0.0738735 23.945 < 2e-16 ***
ORIG_ID767 1.7231164 0.0738277 23.340 < 2e-16 ***
ORIG_ID768 1.5963508 0.0737679 21.640 < 2e-16 ***
ORIG_ID769 0.7244027 0.0746209 9.708 < 2e-16 ***
ORIG_ID770 2.0249548 0.0736861 27.481 < 2e-16 ***
ORIG_ID771 2.1318486 0.0735864 28.971 < 2e-16 ***
ORIG_ID772 1.6018850 0.0740420 21.635 < 2e-16 ***
ORIG_ID773 3.4602761 0.0736638 46.974 < 2e-16 ***
ORIG_ID774 0.1584474 0.0921301 1.720 0.085465 .
ORIG_ID775 -0.8304050 0.1092086 -7.604 2.87e-14 ***
ORIG_ID776 1.1744626 0.0802304 14.639 < 2e-16 ***
ORIG_ID78 -0.5761583 0.1010028 -5.704 1.17e-08 ***
ORIG_ID784 1.1511552 0.0783826 14.686 < 2e-16 ***
ORIG_ID785 0.8350763 0.0752744 11.094 < 2e-16 ***
ORIG_ID786 0.8655016 0.0751577 11.516 < 2e-16 ***
ORIG_ID787 2.1516096 0.0742861 28.964 < 2e-16 ***
ORIG_ID788 3.0348997 0.0733478 41.377 < 2e-16 ***
ORIG_ID789 2.8733227 0.0737015 38.986 < 2e-16 ***
ORIG_ID79 1.6002682 0.1374452 11.643 < 2e-16 ***
ORIG_ID790 0.2676489 0.0761563 3.514 0.000441 ***
ORIG_ID791 0.7145296 0.0750799 9.517 < 2e-16 ***
ORIG_ID792 0.5461314 0.0752312 7.259 3.89e-13 ***
ORIG_ID793 -0.7555855 0.1116991 -6.764 1.34e-11 ***
ORIG_ID794 -1.2247180 0.1045633 -11.713 < 2e-16 ***
ORIG_ID795 0.9155356 0.0788512 11.611 < 2e-16 ***
ORIG_ID80 2.2650934 0.0733091 30.898 < 2e-16 ***
ORIG_ID803 0.5189051 0.0765164 6.782 1.19e-11 ***
ORIG_ID804 1.0618144 0.0745772 14.238 < 2e-16 ***
ORIG_ID805 -1.0465742 0.0884791 -11.828 < 2e-16 ***
ORIG_ID806 2.3446779 0.0735059 31.898 < 2e-16 ***
ORIG_ID807 1.0102596 0.0758539 13.318 < 2e-16 ***
ORIG_ID809 2.2164690 0.0735351 30.142 < 2e-16 ***
ORIG_ID81 -0.2174129 0.1782906 -1.219 0.222681
ORIG_ID810 -0.0531908 0.0772318 -0.689 0.491002
ORIG_ID811 0.3752646 0.0781965 4.799 1.59e-06 ***
ORIG_ID812 -0.9657760 0.0918125 -10.519 < 2e-16 ***
ORIG_ID813 -1.1233601 0.0910133 -12.343 < 2e-16 ***
ORIG_ID814 0.3980470 0.0835621 4.763 1.90e-06 ***
ORIG_ID82 0.6649726 0.1297146 5.126 2.95e-07 ***
ORIG_ID822 1.3942210 0.0775907 17.969 < 2e-16 ***
ORIG_ID823 1.3987226 0.0738749 18.934 < 2e-16 ***
ORIG_ID824 -1.3531573 0.0888163 -15.235 < 2e-16 ***
ORIG_ID825 1.4758160 0.0742039 19.889 < 2e-16 ***
ORIG_ID826 2.2066112 0.0735652 29.995 < 2e-16 ***
ORIG_ID829 1.9306896 0.0736518 26.214 < 2e-16 ***
ORIG_ID831 2.3180121 0.0740103 31.320 < 2e-16 ***
ORIG_ID832 -0.6782895 0.0833796 -8.135 4.12e-16 ***
ORIG_ID833 0.1087448 0.0778533 1.397 0.162476
ORIG_ID840 0.7755299 0.0761632 10.182 < 2e-16 ***
ORIG_ID841 1.6302822 0.0737499 22.106 < 2e-16 ***
ORIG_ID842 2.8176963 0.0733633 38.407 < 2e-16 ***
ORIG_ID843 -0.6192905 0.0831085 -7.452 9.22e-14 ***
ORIG_ID844 -0.0538703 0.0835370 -0.645 0.519013
ORIG_ID845 1.7560112 0.0740586 23.711 < 2e-16 ***
ORIG_ID846 -1.1374422 0.0859730 -13.230 < 2e-16 ***
ORIG_ID847 3.5078198 0.0733236 47.840 < 2e-16 ***
ORIG_ID850 -2.7463004 0.2979719 -9.217 < 2e-16 ***
ORIG_ID851 3.3513058 0.0735327 45.576 < 2e-16 ***
ORIG_ID852 -2.3433334 0.1177501 -19.901 < 2e-16 ***
ORIG_ID859 0.8690604 0.0755011 11.511 < 2e-16 ***
ORIG_ID860 2.7792620 0.0735264 37.799 < 2e-16 ***
ORIG_ID861 3.1800688 0.0733384 43.362 < 2e-16 ***
ORIG_ID862 0.1675269 0.0790816 2.118 0.034141 *
ORIG_ID863 1.0658038 0.0752548 14.163 < 2e-16 ***
ORIG_ID864 -0.5002811 0.0796563 -6.280 3.37e-10 ***
ORIG_ID865 2.1590160 0.0737203 29.287 < 2e-16 ***
ORIG_ID866 -0.0465658 0.0764305 -0.609 0.542354
ORIG_ID867 1.9702243 0.0738500 26.679 < 2e-16 ***
ORIG_ID869 -0.0554823 0.0949795 -0.584 0.559119
ORIG_ID871 -1.1396444 0.0844766 -13.491 < 2e-16 ***
ORIG_ID878 1.4032937 0.0741158 18.934 < 2e-16 ***
ORIG_ID879 2.0353663 0.0735182 27.685 < 2e-16 ***
ORIG_ID880 1.8037963 0.0736769 24.483 < 2e-16 ***
ORIG_ID882 1.2927778 0.0744507 17.364 < 2e-16 ***
ORIG_ID883 0.6360937 0.0754878 8.426 < 2e-16 ***
ORIG_ID884 0.3885466 0.0758348 5.124 3.00e-07 ***
ORIG_ID885 2.2966690 0.0735305 31.234 < 2e-16 ***
ORIG_ID886 1.9265801 0.0743590 25.909 < 2e-16 ***
ORIG_ID890 -0.6913383 0.0786810 -8.787 < 2e-16 ***
ORIG_ID891 3.7614707 0.0736217 51.092 < 2e-16 ***
ORIG_ID897 1.5518055 0.0742643 20.896 < 2e-16 ***
ORIG_ID898 1.6395887 0.0739569 22.170 < 2e-16 ***
ORIG_ID899 0.6407421 0.0745761 8.592 < 2e-16 ***
ORIG_ID900 0.4761161 0.0755195 6.305 2.89e-10 ***
ORIG_ID901 2.3364319 0.0736221 31.735 < 2e-16 ***
ORIG_ID902 1.1147288 0.0746603 14.931 < 2e-16 ***
ORIG_ID903 -0.1200305 0.0858529 -1.398 0.162084
ORIG_ID904 2.5762207 0.0735516 35.026 < 2e-16 ***
ORIG_ID905 2.2782338 0.0738537 30.848 < 2e-16 ***
ORIG_ID907 0.2411642 0.0853465 2.826 0.004718 **
ORIG_ID909 2.5724281 0.0735353 34.982 < 2e-16 ***
ORIG_ID910 2.5943680 0.0735520 35.273 < 2e-16 ***
ORIG_ID915 0.1665227 0.0801692 2.077 0.037789 *
ORIG_ID916 1.0855209 0.0764634 14.197 < 2e-16 ***
ORIG_ID917 0.6897887 0.0753958 9.149 < 2e-16 ***
ORIG_ID918 0.6725844 0.0752600 8.937 < 2e-16 ***
ORIG_ID919 -0.2235520 0.0782913 -2.855 0.004298 **
ORIG_ID920 2.2618559 0.0736855 30.696 < 2e-16 ***
ORIG_ID922 1.2760271 0.0755413 16.892 < 2e-16 ***
ORIG_ID923 2.9726229 0.0736188 40.379 < 2e-16 ***
ORIG_ID927 1.1476092 0.0753045 15.240 < 2e-16 ***
ORIG_ID928 2.1591085 0.0737301 29.284 < 2e-16 ***
ORIG_ID929 -0.9401177 0.0869324 -10.814 < 2e-16 ***
ORIG_ID935 1.1604127 0.0747284 15.528 < 2e-16 ***
ORIG_ID936 1.5475276 0.0740774 20.891 < 2e-16 ***
ORIG_ID937 1.7527254 0.0738904 23.721 < 2e-16 ***
ORIG_ID938 0.8667040 0.0749703 11.561 < 2e-16 ***
ORIG_ID939 1.6247441 0.0738392 22.004 < 2e-16 ***
ORIG_ID945 1.8747858 0.0759961 24.670 < 2e-16 ***
ORIG_ID947 2.1638147 0.0736047 29.398 < 2e-16 ***
ORIG_ID948 1.9286427 0.0737809 26.140 < 2e-16 ***
ORIG_ID953 1.6296495 0.0742393 21.951 < 2e-16 ***
ORIG_ID954 0.7802543 0.0751274 10.386 < 2e-16 ***
ORIG_ID955 1.9374051 0.0737800 26.259 < 2e-16 ***
ORIG_ID956 1.2066578 0.0745454 16.187 < 2e-16 ***
ORIG_ID964 -0.6079583 0.1581151 -3.845 0.000121 ***
ORIG_ID966 2.3311172 0.0735704 31.686 < 2e-16 ***
ORIG_ID967 1.5101888 0.0748502 20.176 < 2e-16 ***
ORIG_ID972 1.5249375 0.0743773 20.503 < 2e-16 ***
ORIG_ID973 -0.3132950 0.0799757 -3.917 8.95e-05 ***
ORIG_ID974 0.8010667 0.0746963 10.724 < 2e-16 ***
ORIG_ID975 0.8958214 0.0751090 11.927 < 2e-16 ***
ORIG_ID977 1.7156346 0.0739479 23.201 < 2e-16 ***
ORIG_ID983 -1.7451914 0.1267300 -13.771 < 2e-16 ***
ORIG_ID985 1.3906369 0.0741224 18.761 < 2e-16 ***
ORIG_ID986 0.0917987 0.0761777 1.205 0.228180
ORIG_ID99 0.4800481 0.1065132 4.507 6.58e-06 ***
ORIG_ID990 -0.8798370 0.1089763 -8.074 6.82e-16 ***
ORIG_ID991 -0.3786281 0.0912016 -4.152 3.30e-05 ***
ORIG_ID992 0.6164995 0.0860509 7.164 7.82e-13 ***
ORIG_ID993 2.6009658 0.0734640 35.405 < 2e-16 ***
ORIG_ID994 0.1299505 0.0790228 1.644 0.100079
ORIG_ID995 1.6185563 0.0740092 21.870 < 2e-16 ***
DESTIN_ID1001 5.8501662 0.2909254 20.109 < 2e-16 ***
DESTIN_ID1002 1.2170247 0.3166293 3.844 0.000121 ***
DESTIN_ID1003 4.4667747 0.2908740 15.356 < 2e-16 ***
DESTIN_ID1004 7.0682976 0.2903873 24.341 < 2e-16 ***
DESTIN_ID1005 3.5750041 0.2913193 12.272 < 2e-16 ***
DESTIN_ID101 6.0015003 0.2900185 20.694 < 2e-16 ***
DESTIN_ID1010 3.7806127 0.2911355 12.986 < 2e-16 ***
DESTIN_ID1011 3.4905786 0.2915705 11.972 < 2e-16 ***
DESTIN_ID1012 3.5824701 0.2912385 12.301 < 2e-16 ***
DESTIN_ID1013 4.2001651 0.2907086 14.448 < 2e-16 ***
DESTIN_ID1014 3.7497453 0.2912419 12.875 < 2e-16 ***
DESTIN_ID102 -0.7257838 0.3505059 -2.071 0.038389 *
DESTIN_ID1023 4.8262524 0.2905310 16.612 < 2e-16 ***
DESTIN_ID1024 4.7719315 0.2905055 16.426 < 2e-16 ***
DESTIN_ID1025 4.9680174 0.2907480 17.087 < 2e-16 ***
DESTIN_ID1028 3.5198747 0.2914158 12.079 < 2e-16 ***
DESTIN_ID1030 2.7898739 0.2933744 9.510 < 2e-16 ***
DESTIN_ID1031 5.0161319 0.2904778 17.269 < 2e-16 ***
DESTIN_ID1033 4.4899385 0.2906204 15.449 < 2e-16 ***
DESTIN_ID1040 1.4404841 0.3125775 4.608 4.06e-06 ***
DESTIN_ID1041 3.5392632 0.2916580 12.135 < 2e-16 ***
DESTIN_ID1042 4.9366325 0.2904680 16.995 < 2e-16 ***
DESTIN_ID1043 4.0020631 0.2907817 13.763 < 2e-16 ***
DESTIN_ID1048 3.3975672 0.2911973 11.668 < 2e-16 ***
DESTIN_ID1049 4.6358849 0.2905484 15.956 < 2e-16 ***
DESTIN_ID1050 5.5680319 0.2904322 19.172 < 2e-16 ***
DESTIN_ID1061 5.4222756 0.2904982 18.665 < 2e-16 ***
DESTIN_ID1062 6.0259597 0.2904242 20.749 < 2e-16 ***
DESTIN_ID1063 3.0641775 0.2917313 10.503 < 2e-16 ***
DESTIN_ID1066 4.5679684 0.2906158 15.718 < 2e-16 ***
DESTIN_ID1067 5.2179949 0.2904644 17.964 < 2e-16 ***
DESTIN_ID1068 5.4000778 0.2904418 18.593 < 2e-16 ***
DESTIN_ID1069 4.3998966 0.2905897 15.141 < 2e-16 ***
DESTIN_ID1071 3.4464468 0.2912670 11.833 < 2e-16 ***
DESTIN_ID1078 3.6794996 0.2941918 12.507 < 2e-16 ***
DESTIN_ID1080 4.7765423 0.2905572 16.439 < 2e-16 ***
DESTIN_ID1081 4.3486446 0.2906505 14.962 < 2e-16 ***
DESTIN_ID1082 2.9038823 0.2924967 9.928 < 2e-16 ***
DESTIN_ID1086 4.4246037 0.2906518 15.223 < 2e-16 ***
DESTIN_ID1087 5.0235999 0.2904945 17.293 < 2e-16 ***
DESTIN_ID1089 4.6196497 0.2905951 15.897 < 2e-16 ***
DESTIN_ID1090 3.9589810 0.2908319 13.613 < 2e-16 ***
DESTIN_ID1097 1.3024575 0.3668561 3.550 0.000385 ***
DESTIN_ID1100 4.9185950 0.2905305 16.930 < 2e-16 ***
DESTIN_ID1101 0.3516404 0.3249791 1.082 0.279235
DESTIN_ID1102 2.6333917 0.2948262 8.932 < 2e-16 ***
DESTIN_ID1104 5.1641291 0.2904888 17.777 < 2e-16 ***
DESTIN_ID1105 5.0890999 0.2904661 17.520 < 2e-16 ***
DESTIN_ID1106 4.5142410 0.2909024 15.518 < 2e-16 ***
DESTIN_ID1107 4.1026829 0.2907879 14.109 < 2e-16 ***
DESTIN_ID1108 4.2548578 0.2906991 14.637 < 2e-16 ***
DESTIN_ID1115 2.4173309 0.2989852 8.085 6.21e-16 ***
DESTIN_ID1116 3.0835512 0.2982783 10.338 < 2e-16 ***
DESTIN_ID1119 2.4830495 0.2920935 8.501 < 2e-16 ***
DESTIN_ID1120 3.5630331 0.2913648 12.229 < 2e-16 ***
DESTIN_ID1123 3.7096207 0.2909118 12.752 < 2e-16 ***
DESTIN_ID1124 4.4295346 0.2906058 15.242 < 2e-16 ***
DESTIN_ID1125 5.0666026 0.2904756 17.442 < 2e-16 ***
DESTIN_ID1128 4.7275215 0.2905624 16.270 < 2e-16 ***
DESTIN_ID1138 3.7098627 0.2909120 12.753 < 2e-16 ***
DESTIN_ID1139 4.4182391 0.2907592 15.196 < 2e-16 ***
DESTIN_ID1140 3.6426136 0.2916040 12.492 < 2e-16 ***
DESTIN_ID1142 3.4219002 0.2910851 11.756 < 2e-16 ***
DESTIN_ID1143 5.3604143 0.2904314 18.457 < 2e-16 ***
DESTIN_ID1144 4.0132931 0.2908533 13.798 < 2e-16 ***
DESTIN_ID1145 4.0956895 0.2908607 14.081 < 2e-16 ***
DESTIN_ID1146 4.3919217 0.2907002 15.108 < 2e-16 ***
DESTIN_ID1147 3.8029512 0.2912936 13.055 < 2e-16 ***
DESTIN_ID1152 0.7161443 0.3326829 2.153 0.031348 *
DESTIN_ID1153 3.9811819 0.2910759 13.677 < 2e-16 ***
DESTIN_ID1157 5.4149194 0.2904659 18.642 < 2e-16 ***
DESTIN_ID1158 3.0629977 0.2914928 10.508 < 2e-16 ***
DESTIN_ID116 5.9172922 0.2911423 20.324 < 2e-16 ***
DESTIN_ID1161 6.7190323 0.2903924 23.138 < 2e-16 ***
DESTIN_ID1162 5.0984061 0.2904735 17.552 < 2e-16 ***
DESTIN_ID1163 5.5901829 0.2904303 19.248 < 2e-16 ***
DESTIN_ID1164 3.7354395 0.2911404 12.830 < 2e-16 ***
DESTIN_ID1167 2.4501465 0.2968989 8.252 < 2e-16 ***
DESTIN_ID117 -2.0674275 0.4301235 -4.807 1.54e-06 ***
DESTIN_ID1171 1.6977409 0.3025249 5.612 2.00e-08 ***
DESTIN_ID1172 5.1863076 0.2906347 17.845 < 2e-16 ***
DESTIN_ID1173 3.4689738 0.2916482 11.894 < 2e-16 ***
DESTIN_ID1176 4.2042855 0.2906758 14.464 < 2e-16 ***
DESTIN_ID1177 4.8367221 0.2905977 16.644 < 2e-16 ***
DESTIN_ID118 0.9370284 0.3137619 2.986 0.002823 **
DESTIN_ID1180 5.3680953 0.2904644 18.481 < 2e-16 ***
DESTIN_ID1181 5.0616151 0.2904487 17.427 < 2e-16 ***
DESTIN_ID1183 3.7389005 0.2921554 12.798 < 2e-16 ***
DESTIN_ID1184 4.8524470 0.2905290 16.702 < 2e-16 ***
DESTIN_ID1186 1.2840564 0.3249518 3.952 7.77e-05 ***
DESTIN_ID119 1.9067542 0.3061928 6.227 4.75e-10 ***
DESTIN_ID1192 2.2453021 0.2938222 7.642 2.14e-14 ***
DESTIN_ID1193 2.9284172 0.2914145 10.049 < 2e-16 ***
DESTIN_ID1194 2.4609797 0.2922856 8.420 < 2e-16 ***
DESTIN_ID1195 5.8973781 0.2904345 20.305 < 2e-16 ***
DESTIN_ID1196 3.5532215 0.2914460 12.192 < 2e-16 ***
DESTIN_ID1198 5.6913883 0.2910386 19.555 < 2e-16 ***
DESTIN_ID1199 3.2797672 0.2911990 11.263 < 2e-16 ***
DESTIN_ID120 2.0840180 0.3030439 6.877 6.11e-12 ***
DESTIN_ID1200 5.0142205 0.2904689 17.263 < 2e-16 ***
DESTIN_ID1201 4.9072154 0.2904812 16.893 < 2e-16 ***
DESTIN_ID1202 4.3421129 0.2905989 14.942 < 2e-16 ***
DESTIN_ID1203 4.3888102 0.2907597 15.094 < 2e-16 ***
DESTIN_ID1204 5.3303004 0.2906343 18.340 < 2e-16 ***
DESTIN_ID1205 0.3453731 0.3700682 0.933 0.350681
DESTIN_ID1207 3.6969050 0.2912406 12.694 < 2e-16 ***
DESTIN_ID1208 3.9599487 0.2910949 13.604 < 2e-16 ***
DESTIN_ID1209 3.7003948 0.2914091 12.698 < 2e-16 ***
DESTIN_ID121 0.9868337 0.3065557 3.219 0.001286 **
DESTIN_ID1210 1.8191421 0.3122120 5.827 5.66e-09 ***
DESTIN_ID1211 2.7682741 0.2932026 9.442 < 2e-16 ***
DESTIN_ID1212 0.4588603 0.3053676 1.503 0.132930
DESTIN_ID1213 5.7400101 0.2904311 19.764 < 2e-16 ***
DESTIN_ID1214 5.0333693 0.2905441 17.324 < 2e-16 ***
DESTIN_ID1215 0.8531310 0.3701081 2.305 0.021162 *
DESTIN_ID1218 4.4331458 0.2906989 15.250 < 2e-16 ***
DESTIN_ID1219 6.2020438 0.2904059 21.356 < 2e-16 ***
DESTIN_ID122 5.1237866 0.2904936 17.638 < 2e-16 ***
DESTIN_ID1220 4.9929748 0.2904789 17.189 < 2e-16 ***
DESTIN_ID1221 5.6610785 0.2904502 19.491 < 2e-16 ***
DESTIN_ID1222 3.5709008 0.2914325 12.253 < 2e-16 ***
DESTIN_ID1225 5.1738433 0.2904984 17.810 < 2e-16 ***
DESTIN_ID1226 3.0758405 0.2915599 10.550 < 2e-16 ***
DESTIN_ID1227 4.1371954 0.2908293 14.226 < 2e-16 ***
DESTIN_ID1229 2.5495427 0.2950015 8.642 < 2e-16 ***
DESTIN_ID1230 5.7164579 0.2904459 19.682 < 2e-16 ***
DESTIN_ID1231 4.3606380 0.2905548 15.008 < 2e-16 ***
DESTIN_ID1232 3.9397241 0.2906597 13.554 < 2e-16 ***
DESTIN_ID1233 5.2190643 0.2905269 17.964 < 2e-16 ***
DESTIN_ID1234 1.4889369 0.3158032 4.715 2.42e-06 ***
DESTIN_ID1238 4.0873354 0.2906550 14.062 < 2e-16 ***
DESTIN_ID1239 3.9938427 0.2906572 13.741 < 2e-16 ***
DESTIN_ID1240 6.2730792 0.2903909 21.602 < 2e-16 ***
DESTIN_ID1241 4.1937232 0.2907094 14.426 < 2e-16 ***
DESTIN_ID1242 2.9536641 0.2918606 10.120 < 2e-16 ***
DESTIN_ID1243 2.2720445 0.2939477 7.729 1.08e-14 ***
DESTIN_ID1244 3.6664372 0.2908991 12.604 < 2e-16 ***
DESTIN_ID1245 5.0277751 0.2905970 17.302 < 2e-16 ***
DESTIN_ID1246 3.4813803 0.2916606 11.936 < 2e-16 ***
DESTIN_ID1249 2.6632095 0.2939931 9.059 < 2e-16 ***
DESTIN_ID1250 5.8649006 0.2904192 20.195 < 2e-16 ***
DESTIN_ID1251 6.2383774 0.2904036 21.482 < 2e-16 ***
DESTIN_ID1252 5.2127833 0.2905089 17.944 < 2e-16 ***
DESTIN_ID1253 2.7362410 0.2923965 9.358 < 2e-16 ***
DESTIN_ID1256 4.6468548 0.2905410 15.994 < 2e-16 ***
DESTIN_ID1257 4.2289257 0.2905896 14.553 < 2e-16 ***
DESTIN_ID1258 4.6999006 0.2905186 16.178 < 2e-16 ***
DESTIN_ID1259 5.1276617 0.2904782 17.652 < 2e-16 ***
DESTIN_ID1260 3.9203881 0.2926294 13.397 < 2e-16 ***
DESTIN_ID1261 2.7573423 0.2919986 9.443 < 2e-16 ***
DESTIN_ID1262 4.9255438 0.2904990 16.955 < 2e-16 ***
DESTIN_ID1263 4.7867347 0.2905102 16.477 < 2e-16 ***
DESTIN_ID1264 5.1427701 0.2904855 17.704 < 2e-16 ***
DESTIN_ID1265 4.9108409 0.2905246 16.903 < 2e-16 ***
DESTIN_ID1266 3.8891284 0.2913123 13.350 < 2e-16 ***
DESTIN_ID1268 4.2544749 0.2907208 14.634 < 2e-16 ***
DESTIN_ID1269 5.4444348 0.2904237 18.747 < 2e-16 ***
DESTIN_ID1270 4.5846899 0.2905275 15.781 < 2e-16 ***
DESTIN_ID1272 5.4687172 0.2911045 18.786 < 2e-16 ***
DESTIN_ID1276 5.4361612 0.2904316 18.718 < 2e-16 ***
DESTIN_ID1277 4.3335771 0.2906091 14.912 < 2e-16 ***
DESTIN_ID1278 5.9756883 0.2904006 20.577 < 2e-16 ***
DESTIN_ID1279 4.9537022 0.2904894 17.053 < 2e-16 ***
DESTIN_ID1280 4.1896007 0.2906023 14.417 < 2e-16 ***
DESTIN_ID1281 4.1419693 0.2906538 14.251 < 2e-16 ***
DESTIN_ID1282 4.2154056 0.2906418 14.504 < 2e-16 ***
DESTIN_ID1283 4.1291324 0.2906087 14.209 < 2e-16 ***
DESTIN_ID1284 4.8177460 0.2905097 16.584 < 2e-16 ***
DESTIN_ID1285 4.3016081 0.2906914 14.798 < 2e-16 ***
DESTIN_ID1288 4.4172335 0.2905640 15.202 < 2e-16 ***
DESTIN_ID1289 4.8810010 0.2905039 16.802 < 2e-16 ***
DESTIN_ID1294 4.9406125 0.2905592 17.004 < 2e-16 ***
DESTIN_ID1295 6.5470249 0.2903880 22.546 < 2e-16 ***
DESTIN_ID1296 5.5747568 0.2904159 19.196 < 2e-16 ***
DESTIN_ID1297 3.3647524 0.2915257 11.542 < 2e-16 ***
DESTIN_ID1298 5.4558936 0.2904379 18.785 < 2e-16 ***
DESTIN_ID1299 4.8837311 0.2904683 16.813 < 2e-16 ***
DESTIN_ID1300 2.4541023 0.2923534 8.394 < 2e-16 ***
DESTIN_ID1301 5.0784863 0.2904670 17.484 < 2e-16 ***
DESTIN_ID1302 5.5066223 0.2904162 18.961 < 2e-16 ***
DESTIN_ID1303 5.6015529 0.2904342 19.287 < 2e-16 ***
DESTIN_ID1304 2.7647277 0.2927502 9.444 < 2e-16 ***
DESTIN_ID1306 3.7000150 0.2909888 12.715 < 2e-16 ***
DESTIN_ID1307 4.7594081 0.2905205 16.382 < 2e-16 ***
DESTIN_ID1308 3.9704840 0.2910080 13.644 < 2e-16 ***
DESTIN_ID1314 4.9346638 0.2904905 16.987 < 2e-16 ***
DESTIN_ID1315 5.1878952 0.2904475 17.862 < 2e-16 ***
DESTIN_ID1316 4.4220666 0.2906432 15.215 < 2e-16 ***
DESTIN_ID1317 3.9901500 0.2907492 13.724 < 2e-16 ***
DESTIN_ID1318 4.9191346 0.2904895 16.934 < 2e-16 ***
DESTIN_ID1319 5.5106309 0.2904457 18.973 < 2e-16 ***
DESTIN_ID1320 6.3401994 0.2903928 21.833 < 2e-16 ***
DESTIN_ID1321 4.3872881 0.2905274 15.101 < 2e-16 ***
DESTIN_ID1322 5.1287427 0.2904466 17.658 < 2e-16 ***
DESTIN_ID1323 3.4988248 0.2912898 12.011 < 2e-16 ***
DESTIN_ID1326 4.8774882 0.2905350 16.788 < 2e-16 ***
DESTIN_ID1327 4.2819800 0.2906953 14.730 < 2e-16 ***
DESTIN_ID1332 3.8579756 0.2910459 13.256 < 2e-16 ***
DESTIN_ID1333 4.5232895 0.2905519 15.568 < 2e-16 ***
DESTIN_ID1334 5.7501565 0.2904031 19.801 < 2e-16 ***
DESTIN_ID1335 5.7579593 0.2904093 19.827 < 2e-16 ***
DESTIN_ID1336 4.4875642 0.2905507 15.445 < 2e-16 ***
DESTIN_ID1337 6.5006292 0.2903820 22.386 < 2e-16 ***
DESTIN_ID1338 4.0904900 0.2905903 14.076 < 2e-16 ***
DESTIN_ID1339 4.0732963 0.2905830 14.018 < 2e-16 ***
DESTIN_ID1340 6.3723302 0.2903879 21.944 < 2e-16 ***
DESTIN_ID1341 3.1320385 0.2913450 10.750 < 2e-16 ***
DESTIN_ID1342 3.3768274 0.2917572 11.574 < 2e-16 ***
DESTIN_ID1345 3.7026102 0.2909220 12.727 < 2e-16 ***
DESTIN_ID1352 3.8782693 0.2908625 13.334 < 2e-16 ***
DESTIN_ID1353 5.0341421 0.2904617 17.332 < 2e-16 ***
DESTIN_ID1354 6.1659417 0.2903904 21.233 < 2e-16 ***
DESTIN_ID1355 5.1616269 0.2904588 17.771 < 2e-16 ***
DESTIN_ID1356 4.9023543 0.2904802 16.877 < 2e-16 ***
DESTIN_ID1357 5.1808755 0.2904327 17.838 < 2e-16 ***
DESTIN_ID1358 4.9645222 0.2905590 17.086 < 2e-16 ***
DESTIN_ID1359 5.0448305 0.2904481 17.369 < 2e-16 ***
DESTIN_ID136 4.1638067 0.2974839 13.997 < 2e-16 ***
DESTIN_ID1360 4.8499266 0.2904843 16.696 < 2e-16 ***
DESTIN_ID1364 1.6258309 0.3483773 4.667 3.06e-06 ***
DESTIN_ID137 0.8058904 0.3279109 2.458 0.013985 *
DESTIN_ID1370 -0.7531239 1.0432525 -0.722 0.470356
DESTIN_ID1371 4.2569593 0.2917953 14.589 < 2e-16 ***
DESTIN_ID1372 5.7843532 0.2904063 19.918 < 2e-16 ***
DESTIN_ID1373 5.5492163 0.2904485 19.106 < 2e-16 ***
DESTIN_ID1374 4.5874702 0.2905282 15.790 < 2e-16 ***
DESTIN_ID1375 5.0207105 0.2905211 17.282 < 2e-16 ***
DESTIN_ID1376 4.4793211 0.2905298 15.418 < 2e-16 ***
DESTIN_ID1377 2.4948504 0.2918308 8.549 < 2e-16 ***
DESTIN_ID1378 5.3889202 0.2904359 18.555 < 2e-16 ***
DESTIN_ID1379 4.0247438 0.2911471 13.824 < 2e-16 ***
DESTIN_ID138 2.8626290 0.3193364 8.964 < 2e-16 ***
DESTIN_ID1380 4.2254285 0.2909415 14.523 < 2e-16 ***
DESTIN_ID1383 2.8976956 0.2925571 9.905 < 2e-16 ***
DESTIN_ID1389 4.6775788 0.2963652 15.783 < 2e-16 ***
DESTIN_ID139 3.1214232 0.3024186 10.322 < 2e-16 ***
DESTIN_ID1390 4.3244680 0.2911993 14.851 < 2e-16 ***
DESTIN_ID1391 5.1132948 0.2904815 17.603 < 2e-16 ***
DESTIN_ID1392 5.4476141 0.2904249 18.757 < 2e-16 ***
DESTIN_ID1393 4.9621275 0.2904523 17.084 < 2e-16 ***
DESTIN_ID1394 4.8659629 0.2904637 16.752 < 2e-16 ***
DESTIN_ID1395 5.5189739 0.2905633 18.994 < 2e-16 ***
DESTIN_ID1396 3.3956955 0.2914214 11.652 < 2e-16 ***
DESTIN_ID1397 3.7082808 0.2931740 12.649 < 2e-16 ***
DESTIN_ID1398 4.3020733 0.2907921 14.794 < 2e-16 ***
DESTIN_ID140 1.9667823 0.3070710 6.405 1.50e-10 ***
DESTIN_ID1401 1.8820099 0.3009597 6.253 4.02e-10 ***
DESTIN_ID1408 4.5604121 0.2944867 15.486 < 2e-16 ***
DESTIN_ID1409 5.1400139 0.2906589 17.684 < 2e-16 ***
DESTIN_ID141 3.4019746 0.2918200 11.658 < 2e-16 ***
DESTIN_ID1410 4.5905875 0.2914615 15.750 < 2e-16 ***
DESTIN_ID1411 5.4239009 0.2904265 18.676 < 2e-16 ***
DESTIN_ID1412 5.5903705 0.2904180 19.249 < 2e-16 ***
DESTIN_ID1413 4.8513878 0.2905394 16.698 < 2e-16 ***
DESTIN_ID1414 2.1966625 0.2928348 7.501 6.32e-14 ***
DESTIN_ID1415 4.0410074 0.2906391 13.904 < 2e-16 ***
DESTIN_ID1416 2.8481703 0.2914475 9.772 < 2e-16 ***
DESTIN_ID1417 3.0625161 0.2914084 10.509 < 2e-16 ***
DESTIN_ID1418 2.8310190 0.2922397 9.687 < 2e-16 ***
DESTIN_ID1419 0.4986276 0.3297322 1.512 0.130478
DESTIN_ID142 2.4987204 0.3086094 8.097 5.65e-16 ***
DESTIN_ID1420 1.4833385 0.3053791 4.857 1.19e-06 ***
DESTIN_ID1428 4.7937973 0.2998767 15.986 < 2e-16 ***
DESTIN_ID1430 3.7731652 0.2910942 12.962 < 2e-16 ***
DESTIN_ID1431 2.8155129 0.2913483 9.664 < 2e-16 ***
DESTIN_ID1432 5.0737897 0.2904441 17.469 < 2e-16 ***
DESTIN_ID1433 3.9702751 0.2916960 13.611 < 2e-16 ***
DESTIN_ID1434 3.8497360 0.2908537 13.236 < 2e-16 ***
DESTIN_ID1435 4.9697377 0.2905299 17.106 < 2e-16 ***
DESTIN_ID1436 2.7867426 0.2915775 9.557 < 2e-16 ***
DESTIN_ID1439 2.8959991 0.2925865 9.898 < 2e-16 ***
DESTIN_ID1440 2.2591654 0.3007627 7.511 5.85e-14 ***
DESTIN_ID1448 5.1287448 0.2909572 17.627 < 2e-16 ***
DESTIN_ID1449 4.4678002 0.2905224 15.379 < 2e-16 ***
DESTIN_ID1450 4.8198667 0.2905132 16.591 < 2e-16 ***
DESTIN_ID1451 5.5530398 0.2904374 19.120 < 2e-16 ***
DESTIN_ID1452 3.9040531 0.2906707 13.431 < 2e-16 ***
DESTIN_ID1453 4.9566680 0.2904623 17.065 < 2e-16 ***
DESTIN_ID1454 4.8069936 0.2907314 16.534 < 2e-16 ***
DESTIN_ID1455 3.0154517 0.2911946 10.355 < 2e-16 ***
DESTIN_ID1456 5.1134721 0.2905033 17.602 < 2e-16 ***
DESTIN_ID1457 5.0508692 0.2905573 17.383 < 2e-16 ***
DESTIN_ID1458 2.3601665 0.3004137 7.856 3.95e-15 ***
DESTIN_ID1468 4.9986338 0.2909416 17.181 < 2e-16 ***
DESTIN_ID1469 5.4253252 0.2904222 18.681 < 2e-16 ***
DESTIN_ID1470 4.0332611 0.2906956 13.875 < 2e-16 ***
DESTIN_ID1471 5.2165374 0.2904647 17.959 < 2e-16 ***
DESTIN_ID1472 6.7071783 0.2903835 23.098 < 2e-16 ***
DESTIN_ID1473 3.8094985 0.2906737 13.106 < 2e-16 ***
DESTIN_ID1474 5.6000747 0.2904363 19.282 < 2e-16 ***
DESTIN_ID1475 3.8265876 0.2908305 13.157 < 2e-16 ***
DESTIN_ID1476 4.0486315 0.2907745 13.924 < 2e-16 ***
DESTIN_ID1477 1.1418093 0.3060588 3.731 0.000191 ***
DESTIN_ID1486 2.8792208 0.2933490 9.815 < 2e-16 ***
DESTIN_ID1487 5.0043853 0.2904712 17.229 < 2e-16 ***
DESTIN_ID1488 3.9450783 0.2908963 13.562 < 2e-16 ***
DESTIN_ID1489 4.4807752 0.2905559 15.421 < 2e-16 ***
DESTIN_ID1490 4.2108173 0.2907899 14.481 < 2e-16 ***
DESTIN_ID1491 4.6616012 0.2904821 16.048 < 2e-16 ***
DESTIN_ID1492 4.6071104 0.2904996 15.859 < 2e-16 ***
DESTIN_ID1493 4.8798111 0.2904750 16.799 < 2e-16 ***
DESTIN_ID1494 5.1471860 0.2905166 17.717 < 2e-16 ***
DESTIN_ID1506 1.5531083 0.3080356 5.042 4.61e-07 ***
DESTIN_ID1507 5.3734643 0.2904279 18.502 < 2e-16 ***
DESTIN_ID1508 4.2783582 0.2905617 14.724 < 2e-16 ***
DESTIN_ID1509 3.2368637 0.2933241 11.035 < 2e-16 ***
DESTIN_ID1510 4.8235986 0.2904848 16.605 < 2e-16 ***
DESTIN_ID1512 5.3214789 0.2904317 18.323 < 2e-16 ***
DESTIN_ID1513 5.4797065 0.2905975 18.857 < 2e-16 ***
DESTIN_ID1514 4.5949703 0.2906803 15.808 < 2e-16 ***
DESTIN_ID1524 3.9375460 0.2912149 13.521 < 2e-16 ***
DESTIN_ID1525 4.8465906 0.2904994 16.684 < 2e-16 ***
DESTIN_ID1526 4.6154185 0.2905131 15.887 < 2e-16 ***
DESTIN_ID1527 4.4645191 0.2907085 15.357 < 2e-16 ***
DESTIN_ID1528 3.6785703 0.2907730 12.651 < 2e-16 ***
DESTIN_ID1529 3.4768486 0.2908632 11.954 < 2e-16 ***
DESTIN_ID1530 3.7389468 0.2907640 12.859 < 2e-16 ***
DESTIN_ID1531 4.8451219 0.2904777 16.680 < 2e-16 ***
DESTIN_ID1532 3.9935088 0.2908524 13.730 < 2e-16 ***
DESTIN_ID1544 4.6527036 0.2905955 16.011 < 2e-16 ***
DESTIN_ID1545 4.4915343 0.2905115 15.461 < 2e-16 ***
DESTIN_ID1546 4.8728825 0.2904764 16.775 < 2e-16 ***
DESTIN_ID1547 4.4575137 0.2905616 15.341 < 2e-16 ***
DESTIN_ID1548 5.0035358 0.2904849 17.225 < 2e-16 ***
DESTIN_ID1549 5.9659656 0.2904112 20.543 < 2e-16 ***
DESTIN_ID1550 5.3702374 0.2904240 18.491 < 2e-16 ***
DESTIN_ID1551 3.2682838 0.2910570 11.229 < 2e-16 ***
DESTIN_ID1552 5.1154928 0.2905139 17.608 < 2e-16 ***
DESTIN_ID156 3.3708506 0.3269422 10.310 < 2e-16 ***
DESTIN_ID1562 0.9422309 0.3256933 2.893 0.003816 **
DESTIN_ID1563 4.9512242 0.2904958 17.044 < 2e-16 ***
DESTIN_ID1564 5.3121135 0.2904350 18.290 < 2e-16 ***
DESTIN_ID1565 4.5058316 0.2905244 15.509 < 2e-16 ***
DESTIN_ID1566 2.4689590 0.2928050 8.432 < 2e-16 ***
DESTIN_ID1567 4.7561095 0.2905034 16.372 < 2e-16 ***
DESTIN_ID1568 5.0631761 0.2904381 17.433 < 2e-16 ***
DESTIN_ID1569 4.5253475 0.2905052 15.578 < 2e-16 ***
DESTIN_ID1570 5.1451587 0.2904567 17.714 < 2e-16 ***
DESTIN_ID1571 5.5865395 0.2907866 19.212 < 2e-16 ***
DESTIN_ID158 2.2311338 0.3186669 7.001 2.53e-12 ***
DESTIN_ID1582 4.0400609 0.2907176 13.897 < 2e-16 ***
DESTIN_ID1583 5.8278565 0.2904019 20.068 < 2e-16 ***
DESTIN_ID1584 4.3428949 0.2905445 14.947 < 2e-16 ***
DESTIN_ID1585 3.2607992 0.2910845 11.202 < 2e-16 ***
DESTIN_ID1587 5.1581872 0.2904514 17.759 < 2e-16 ***
DESTIN_ID1588 6.2803172 0.2903904 21.627 < 2e-16 ***
DESTIN_ID1589 5.3136596 0.2904305 18.296 < 2e-16 ***
DESTIN_ID159 5.1740419 0.2905978 17.805 < 2e-16 ***
DESTIN_ID1590 4.6221223 0.2905127 15.910 < 2e-16 ***
DESTIN_ID1591 1.9333067 0.2967125 6.516 7.23e-11 ***
DESTIN_ID160 1.8953718 0.3000244 6.317 2.66e-10 ***
DESTIN_ID1600 1.8375752 0.3035482 6.054 1.42e-09 ***
DESTIN_ID1601 4.4635396 0.2905415 15.363 < 2e-16 ***
DESTIN_ID1602 4.6671895 0.2905053 16.066 < 2e-16 ***
DESTIN_ID1603 4.0971067 0.2907258 14.093 < 2e-16 ***
DESTIN_ID1604 5.4715299 0.2907866 18.816 < 2e-16 ***
DESTIN_ID1606 4.5848750 0.2905139 15.782 < 2e-16 ***
DESTIN_ID1607 4.2682606 0.2905570 14.690 < 2e-16 ***
DESTIN_ID1608 6.2398388 0.2903959 21.487 < 2e-16 ***
DESTIN_ID1609 4.8124013 0.2905195 16.565 < 2e-16 ***
DESTIN_ID1610 4.1391953 0.2917712 14.186 < 2e-16 ***
DESTIN_ID1620 5.6752824 0.2904368 19.541 < 2e-16 ***
DESTIN_ID1621 5.1935932 0.2904638 17.880 < 2e-16 ***
DESTIN_ID1622 4.6176885 0.2906613 15.887 < 2e-16 ***
DESTIN_ID1623 3.8011853 0.2907876 13.072 < 2e-16 ***
DESTIN_ID1624 1.0881262 0.3151615 3.453 0.000555 ***
DESTIN_ID1625 2.0501907 0.2954397 6.939 3.94e-12 ***
DESTIN_ID1626 4.9436225 0.2904865 17.018 < 2e-16 ***
DESTIN_ID1627 4.9965341 0.2904583 17.202 < 2e-16 ***
DESTIN_ID1628 4.9572629 0.2904661 17.067 < 2e-16 ***
DESTIN_ID1629 4.1302734 0.2907299 14.207 < 2e-16 ***
DESTIN_ID1630 4.0627175 0.2931962 13.857 < 2e-16 ***
DESTIN_ID1639 4.6496519 0.2905322 16.004 < 2e-16 ***
DESTIN_ID1640 5.7419158 0.2904072 19.772 < 2e-16 ***
DESTIN_ID1641 5.0270791 0.2904602 17.307 < 2e-16 ***
DESTIN_ID1645 4.7108646 0.2905599 16.213 < 2e-16 ***
DESTIN_ID1646 4.7069742 0.2904852 16.204 < 2e-16 ***
DESTIN_ID1647 6.2632038 0.2904009 21.567 < 2e-16 ***
DESTIN_ID1648 2.7965019 0.2927620 9.552 < 2e-16 ***
DESTIN_ID1658 6.1930753 0.2904092 21.325 < 2e-16 ***
DESTIN_ID1659 4.3651024 0.2905574 15.023 < 2e-16 ***
DESTIN_ID1660 4.4023834 0.2905349 15.153 < 2e-16 ***
DESTIN_ID1661 3.5596804 0.2909670 12.234 < 2e-16 ***
DESTIN_ID1663 1.5661358 0.3083358 5.079 3.79e-07 ***
DESTIN_ID1665 4.2654383 0.2906602 14.675 < 2e-16 ***
DESTIN_ID1666 5.9534372 0.2904103 20.500 < 2e-16 ***
DESTIN_ID1667 3.5758287 0.2914554 12.269 < 2e-16 ***
DESTIN_ID1668 5.7466723 0.2910093 19.747 < 2e-16 ***
DESTIN_ID1677 4.7024963 0.2905020 16.187 < 2e-16 ***
DESTIN_ID1678 4.9899924 0.2904717 17.179 < 2e-16 ***
DESTIN_ID1679 5.2167163 0.2904678 17.960 < 2e-16 ***
DESTIN_ID1682 2.2355043 0.3003325 7.443 9.81e-14 ***
DESTIN_ID1684 5.0565356 0.2910187 17.375 < 2e-16 ***
DESTIN_ID1685 4.6798683 0.2905351 16.108 < 2e-16 ***
DESTIN_ID1696 5.0776300 0.2905262 17.477 < 2e-16 ***
DESTIN_ID1697 3.0868048 0.2915858 10.586 < 2e-16 ***
DESTIN_ID1698 4.9756317 0.2912274 17.085 < 2e-16 ***
DESTIN_ID1699 4.8857500 0.2905074 16.818 < 2e-16 ***
DESTIN_ID1702 1.4254838 0.3217913 4.430 9.43e-06 ***
DESTIN_ID1704 4.9618403 0.2905081 17.080 < 2e-16 ***
DESTIN_ID1705 4.5790916 0.2911390 15.728 < 2e-16 ***
DESTIN_ID1715 4.6481606 0.2905426 15.998 < 2e-16 ***
DESTIN_ID1716 3.9950901 0.2906678 13.745 < 2e-16 ***
DESTIN_ID1717 3.6584124 0.2909281 12.575 < 2e-16 ***
DESTIN_ID1718 1.0956402 0.3102060 3.532 0.000412 ***
DESTIN_ID1721 1.6723561 0.3169322 5.277 1.32e-07 ***
DESTIN_ID1723 4.2202869 0.2909556 14.505 < 2e-16 ***
DESTIN_ID1734 2.7501674 0.2979855 9.229 < 2e-16 ***
DESTIN_ID1735 4.1003467 0.2906707 14.107 < 2e-16 ***
DESTIN_ID1736 5.0487800 0.2905343 17.378 < 2e-16 ***
DESTIN_ID1737 5.2853982 0.2904655 18.196 < 2e-16 ***
DESTIN_ID1740 2.5265236 0.2986987 8.458 < 2e-16 ***
DESTIN_ID1742 4.3123015 0.2909743 14.820 < 2e-16 ***
DESTIN_ID1753 4.5760667 0.2905947 15.747 < 2e-16 ***
DESTIN_ID1754 4.9881397 0.2904684 17.173 < 2e-16 ***
DESTIN_ID1755 5.1209376 0.2904921 17.628 < 2e-16 ***
DESTIN_ID1758 2.2332433 0.2997627 7.450 9.33e-14 ***
DESTIN_ID177 1.0482111 0.4204562 2.493 0.012666 *
DESTIN_ID1772 1.5355997 0.3212522 4.780 1.75e-06 ***
DESTIN_ID1773 4.2804146 0.2906947 14.725 < 2e-16 ***
DESTIN_ID1774 6.8090763 0.2903829 23.449 < 2e-16 ***
DESTIN_ID1775 4.2728091 0.2906712 14.700 < 2e-16 ***
DESTIN_ID1776 4.9213498 0.2905152 16.940 < 2e-16 ***
DESTIN_ID1778 2.2589506 0.3055154 7.394 1.43e-13 ***
DESTIN_ID178 2.1839952 0.3003228 7.272 3.54e-13 ***
DESTIN_ID179 0.6308392 0.3431416 1.838 0.066000 .
DESTIN_ID1791 4.4222325 0.2907006 15.212 < 2e-16 ***
DESTIN_ID1792 2.6712511 0.2914050 9.167 < 2e-16 ***
DESTIN_ID1793 4.7315586 0.2905173 16.287 < 2e-16 ***
DESTIN_ID1794 3.5263968 0.2913131 12.105 < 2e-16 ***
DESTIN_ID1795 4.9566584 0.2905106 17.062 < 2e-16 ***
DESTIN_ID1796 3.8430071 0.2908872 13.211 < 2e-16 ***
DESTIN_ID1797 4.3466687 0.2907000 14.952 < 2e-16 ***
DESTIN_ID1811 4.6286348 0.2905580 15.930 < 2e-16 ***
DESTIN_ID1812 5.0634974 0.2904456 17.434 < 2e-16 ***
DESTIN_ID1813 5.2004679 0.2904597 17.904 < 2e-16 ***
DESTIN_ID1814 5.5006366 0.2904522 18.938 < 2e-16 ***
DESTIN_ID1815 4.9180064 0.2905200 16.928 < 2e-16 ***
DESTIN_ID1816 5.3266752 0.2904929 18.337 < 2e-16 ***
DESTIN_ID1817 2.8001364 0.2930845 9.554 < 2e-16 ***
DESTIN_ID1830 4.9921243 0.2905767 17.180 < 2e-16 ***
DESTIN_ID1831 5.4084777 0.2904430 18.621 < 2e-16 ***
DESTIN_ID1832 4.9712620 0.2904670 17.115 < 2e-16 ***
DESTIN_ID1833 4.6805042 0.2904949 16.112 < 2e-16 ***
DESTIN_ID1834 3.7702597 0.2909401 12.959 < 2e-16 ***
DESTIN_ID1835 5.3813791 0.2904738 18.526 < 2e-16 ***
DESTIN_ID1849 4.3762730 0.2906952 15.055 < 2e-16 ***
DESTIN_ID1850 4.9922686 0.2904783 17.186 < 2e-16 ***
DESTIN_ID1851 2.4026142 0.2942506 8.165 3.21e-16 ***
DESTIN_ID1852 5.6862707 0.2904103 19.580 < 2e-16 ***
DESTIN_ID1853 4.4775119 0.2905469 15.411 < 2e-16 ***
DESTIN_ID1854 4.7317948 0.2905306 16.287 < 2e-16 ***
DESTIN_ID1855 2.7520192 0.2928233 9.398 < 2e-16 ***
DESTIN_ID1868 4.9182445 0.2905298 16.929 < 2e-16 ***
DESTIN_ID1869 4.1554435 0.2906586 14.297 < 2e-16 ***
DESTIN_ID1870 2.3874126 0.2939381 8.122 4.58e-16 ***
DESTIN_ID1871 6.9927894 0.2903824 24.081 < 2e-16 ***
DESTIN_ID1872 4.6380706 0.2906568 15.957 < 2e-16 ***
DESTIN_ID1873 4.8496510 0.2905535 16.691 < 2e-16 ***
DESTIN_ID1887 4.2282606 0.2907547 14.542 < 2e-16 ***
DESTIN_ID1888 5.7246596 0.2904363 19.711 < 2e-16 ***
DESTIN_ID1889 4.5417339 0.2905691 15.630 < 2e-16 ***
DESTIN_ID1890 4.7740865 0.2904763 16.435 < 2e-16 ***
DESTIN_ID1891 4.0730169 0.2906988 14.011 < 2e-16 ***
DESTIN_ID1892 6.5514298 0.2903960 22.560 < 2e-16 ***
DESTIN_ID1893 3.3850083 0.2936677 11.527 < 2e-16 ***
DESTIN_ID1905 3.8509890 0.3009549 12.796 < 2e-16 ***
DESTIN_ID1906 2.7656340 0.2919035 9.474 < 2e-16 ***
DESTIN_ID1907 3.9657118 0.2907357 13.640 < 2e-16 ***
DESTIN_ID1908 5.4211429 0.2904662 18.664 < 2e-16 ***
DESTIN_ID1909 4.6112109 0.2904967 15.874 < 2e-16 ***
DESTIN_ID1910 3.8365627 0.2908179 13.192 < 2e-16 ***
DESTIN_ID1911 1.8275826 0.2986765 6.119 9.42e-10 ***
DESTIN_ID1926 4.0756269 0.2910323 14.004 < 2e-16 ***
DESTIN_ID1927 3.8438343 0.2913152 13.195 < 2e-16 ***
DESTIN_ID1928 5.3140385 0.2904424 18.296 < 2e-16 ***
DESTIN_ID1929 5.2903087 0.2905027 18.211 < 2e-16 ***
DESTIN_ID1930 5.0362333 0.2904897 17.337 < 2e-16 ***
DESTIN_ID1944 4.5534964 0.2909811 15.649 < 2e-16 ***
DESTIN_ID1945 2.5935303 0.2928600 8.856 < 2e-16 ***
DESTIN_ID1946 5.1849460 0.2905016 17.848 < 2e-16 ***
DESTIN_ID1947 5.7751292 0.2904173 19.886 < 2e-16 ***
DESTIN_ID1948 5.4560154 0.2904559 18.784 < 2e-16 ***
DESTIN_ID1949 4.7639099 0.2906214 16.392 < 2e-16 ***
DESTIN_ID195 2.4957834 0.3351421 7.447 9.55e-14 ***
DESTIN_ID196 4.8780922 0.2911896 16.752 < 2e-16 ***
DESTIN_ID1965 4.8228831 0.2905665 16.598 < 2e-16 ***
DESTIN_ID1966 3.9930785 0.2908058 13.731 < 2e-16 ***
DESTIN_ID1967 4.3453050 0.2905696 14.954 < 2e-16 ***
DESTIN_ID1968 4.7976110 0.2905674 16.511 < 2e-16 ***
DESTIN_ID197 3.3460638 0.2952403 11.333 < 2e-16 ***
DESTIN_ID1983 4.3782758 0.2910108 15.045 < 2e-16 ***
DESTIN_ID1984 3.6433692 0.2913444 12.505 < 2e-16 ***
DESTIN_ID1985 4.2104700 0.2907113 14.483 < 2e-16 ***
DESTIN_ID1986 4.9679544 0.2905059 17.101 < 2e-16 ***
DESTIN_ID1987 3.5241720 0.2940552 11.985 < 2e-16 ***
DESTIN_ID2002 3.0521797 0.2969312 10.279 < 2e-16 ***
DESTIN_ID2003 2.0814940 0.2970167 7.008 2.42e-12 ***
DESTIN_ID2004 2.8751754 0.2946825 9.757 < 2e-16 ***
DESTIN_ID2005 4.5837435 0.2906786 15.769 < 2e-16 ***
DESTIN_ID2006 3.3596129 0.2913844 11.530 < 2e-16 ***
DESTIN_ID2021 3.4281448 0.2952170 11.612 < 2e-16 ***
DESTIN_ID2022 4.7924738 0.2917617 16.426 < 2e-16 ***
DESTIN_ID2023 3.8254301 0.2916123 13.118 < 2e-16 ***
DESTIN_ID2024 2.6988888 0.2927472 9.219 < 2e-16 ***
DESTIN_ID2025 1.0051620 0.3386827 2.968 0.002999 **
DESTIN_ID2042 1.6988922 0.3112194 5.459 4.79e-08 ***
DESTIN_ID2043 3.1572194 0.2930880 10.772 < 2e-16 ***
DESTIN_ID2044 2.8072146 0.2928619 9.585 < 2e-16 ***
DESTIN_ID2045 2.9728438 0.2992977 9.933 < 2e-16 ***
DESTIN_ID2061 2.7889518 0.2997555 9.304 < 2e-16 ***
DESTIN_ID2062 3.1473275 0.2940225 10.704 < 2e-16 ***
DESTIN_ID2063 2.9203685 0.2926306 9.980 < 2e-16 ***
DESTIN_ID2064 2.0919480 0.2994107 6.987 2.81e-12 ***
DESTIN_ID2079 4.0794232 0.2918005 13.980 < 2e-16 ***
DESTIN_ID2082 2.6437989 0.2976028 8.884 < 2e-16 ***
DESTIN_ID2083 2.8858900 0.2923235 9.872 < 2e-16 ***
DESTIN_ID2098 5.1409510 0.2907494 17.682 < 2e-16 ***
DESTIN_ID2099 6.3609500 0.2904782 21.898 < 2e-16 ***
DESTIN_ID2102 5.8598694 0.2905846 20.166 < 2e-16 ***
DESTIN_ID2115 6.6456183 0.2911434 22.826 < 2e-16 ***
DESTIN_ID2119 6.8891882 0.2904482 23.719 < 2e-16 ***
DESTIN_ID2121 4.4577563 0.2908371 15.327 < 2e-16 ***
DESTIN_ID2137 4.5601779 0.2909673 15.672 < 2e-16 ***
DESTIN_ID2140 3.4734038 0.2918385 11.902 < 2e-16 ***
DESTIN_ID215 1.0338447 0.3670332 2.817 0.004851 **
DESTIN_ID2153 1.7127411 0.2967686 5.771 7.87e-09 ***
DESTIN_ID2158 4.2469073 0.2915101 14.569 < 2e-16 ***
DESTIN_ID216 1.9373534 0.3142463 6.165 7.04e-10 ***
DESTIN_ID217 4.1645778 0.2967778 14.033 < 2e-16 ***
DESTIN_ID2177 3.8667660 0.2915755 13.262 < 2e-16 ***
DESTIN_ID2178 1.7877031 0.3027677 5.905 3.54e-09 ***
DESTIN_ID2196 3.4018043 0.2976117 11.430 < 2e-16 ***
DESTIN_ID2197 3.6662785 0.2924011 12.539 < 2e-16 ***
DESTIN_ID2267 1.9807468 0.3220664 6.150 7.74e-10 ***
DESTIN_ID233 1.4395983 0.2986926 4.820 1.44e-06 ***
DESTIN_ID234 1.6126552 0.3088705 5.221 1.78e-07 ***
DESTIN_ID235 2.1912261 0.3070804 7.136 9.63e-13 ***
DESTIN_ID252 2.1473249 0.2971975 7.225 5.00e-13 ***
DESTIN_ID253 2.3095531 0.3005721 7.684 1.54e-14 ***
DESTIN_ID254 3.1236335 0.2968592 10.522 < 2e-16 ***
DESTIN_ID271 1.9455694 0.3155561 6.166 7.02e-10 ***
DESTIN_ID272 4.1784068 0.2922487 14.297 < 2e-16 ***
DESTIN_ID290 2.3460199 0.3080200 7.616 2.61e-14 ***
DESTIN_ID291 1.6770234 0.3271511 5.126 2.96e-07 ***
DESTIN_ID292 2.9702236 0.2986722 9.945 < 2e-16 ***
DESTIN_ID308 4.2063634 0.2951074 14.254 < 2e-16 ***
DESTIN_ID309 1.0799848 0.3034979 3.558 0.000373 ***
DESTIN_ID310 3.0183120 0.2965530 10.178 < 2e-16 ***
DESTIN_ID329 3.2073250 0.2999267 10.694 < 2e-16 ***
DESTIN_ID330 2.1279660 0.2989621 7.118 1.10e-12 ***
DESTIN_ID347 1.8131256 0.2961509 6.122 9.22e-10 ***
DESTIN_ID348 2.3237699 0.2969996 7.824 5.11e-15 ***
DESTIN_ID349 0.4599174 0.3464802 1.327 0.184377
DESTIN_ID366 3.5839505 0.3024747 11.849 < 2e-16 ***
DESTIN_ID367 1.7411244 0.3073263 5.665 1.47e-08 ***
DESTIN_ID368 5.6715772 0.2903626 19.533 < 2e-16 ***
DESTIN_ID369 4.1539473 0.2916196 14.244 < 2e-16 ***
DESTIN_ID370 5.3089095 0.2906900 18.263 < 2e-16 ***
DESTIN_ID385 1.8925461 0.3280879 5.768 8.00e-09 ***
DESTIN_ID386 1.2697248 0.3069494 4.137 3.53e-05 ***
DESTIN_ID387 2.7310504 0.2922627 9.345 < 2e-16 ***
DESTIN_ID388 3.1116541 0.2922318 10.648 < 2e-16 ***
DESTIN_ID389 3.8540450 0.2924349 13.179 < 2e-16 ***
DESTIN_ID40 2.3418506 0.3516793 6.659 2.76e-11 ***
DESTIN_ID404 2.4929644 0.3150391 7.913 2.51e-15 ***
DESTIN_ID405 0.8215259 0.3197313 2.569 0.010187 *
DESTIN_ID406 0.7964942 0.3103875 2.566 0.010284 *
DESTIN_ID407 4.3606360 0.2907354 14.999 < 2e-16 ***
DESTIN_ID408 3.7018916 0.2911816 12.713 < 2e-16 ***
DESTIN_ID42 2.0749850 0.2997765 6.922 4.46e-12 ***
DESTIN_ID424 2.5817740 0.2978729 8.667 < 2e-16 ***
DESTIN_ID425 2.3115470 0.2931306 7.886 3.13e-15 ***
DESTIN_ID426 5.2195904 0.2904752 17.969 < 2e-16 ***
DESTIN_ID427 4.3121336 0.2914457 14.796 < 2e-16 ***
DESTIN_ID442 2.1231812 0.3129310 6.785 1.16e-11 ***
DESTIN_ID443 -0.1263903 0.4186517 -0.302 0.762730
DESTIN_ID444 3.4789957 0.2919666 11.916 < 2e-16 ***
DESTIN_ID445 3.6356211 0.2908556 12.500 < 2e-16 ***
DESTIN_ID447 -0.1714977 0.4015637 -0.427 0.669325
DESTIN_ID448 3.6669886 0.2934217 12.497 < 2e-16 ***
DESTIN_ID461 2.6487481 0.3015369 8.784 < 2e-16 ***
DESTIN_ID462 2.3710730 0.2991538 7.926 2.26e-15 ***
DESTIN_ID463 3.1513562 0.2911751 10.823 < 2e-16 ***
DESTIN_ID464 5.2660601 0.2904271 18.132 < 2e-16 ***
DESTIN_ID465 2.0531241 0.2958236 6.940 3.91e-12 ***
DESTIN_ID466 1.9591770 0.3038624 6.448 1.14e-10 ***
DESTIN_ID467 1.8742574 0.3170606 5.911 3.39e-09 ***
DESTIN_ID480 2.1324138 0.3167412 6.732 1.67e-11 ***
DESTIN_ID481 3.2438184 0.2942498 11.024 < 2e-16 ***
DESTIN_ID482 2.2637423 0.2939137 7.702 1.34e-14 ***
DESTIN_ID483 5.6396010 0.2903880 19.421 < 2e-16 ***
DESTIN_ID484 5.4018458 0.2904377 18.599 < 2e-16 ***
DESTIN_ID486 3.1691854 0.2935269 10.797 < 2e-16 ***
DESTIN_ID487 1.3696374 0.3360309 4.076 4.58e-05 ***
DESTIN_ID488 0.9139713 0.4015736 2.276 0.022848 *
DESTIN_ID489 0.5187210 0.5332383 0.973 0.330665
DESTIN_ID499 1.1295708 0.3350714 3.371 0.000749 ***
DESTIN_ID500 1.4019871 0.3201393 4.379 1.19e-05 ***
DESTIN_ID501 1.9791523 0.2926027 6.764 1.34e-11 ***
DESTIN_ID502 4.7031316 0.2904513 16.192 < 2e-16 ***
DESTIN_ID503 3.9859853 0.2910997 13.693 < 2e-16 ***
DESTIN_ID507 2.9457711 0.3044131 9.677 < 2e-16 ***
DESTIN_ID508 0.9311746 0.4094600 2.274 0.022957 *
DESTIN_ID509 1.1528500 0.4186073 2.754 0.005887 **
DESTIN_ID518 0.6491990 0.4420619 1.469 0.141949
DESTIN_ID519 3.0350486 0.2966046 10.233 < 2e-16 ***
DESTIN_ID520 2.1850238 0.2974456 7.346 2.04e-13 ***
DESTIN_ID521 7.1508243 0.2903560 24.628 < 2e-16 ***
DESTIN_ID522 4.5385623 0.2905150 15.622 < 2e-16 ***
DESTIN_ID524 0.3451999 0.3464693 0.996 0.319087
DESTIN_ID528 1.8737430 0.3282338 5.709 1.14e-08 ***
DESTIN_ID529 2.7988557 0.3084586 9.074 < 2e-16 ***
DESTIN_ID530 3.1998555 0.3064472 10.442 < 2e-16 ***
DESTIN_ID537 1.0005828 0.3414600 2.930 0.003386 **
DESTIN_ID538 2.2740714 0.2988321 7.610 2.74e-14 ***
DESTIN_ID539 1.6600183 0.2939831 5.647 1.64e-08 ***
DESTIN_ID540 4.4635901 0.2904630 15.367 < 2e-16 ***
DESTIN_ID541 0.9133015 0.3143332 2.906 0.003666 **
DESTIN_ID547 1.0512198 0.3641586 2.887 0.003893 **
DESTIN_ID548 1.8539151 0.3275486 5.660 1.51e-08 ***
DESTIN_ID557 1.2262671 0.3062134 4.005 6.21e-05 ***
DESTIN_ID558 2.3746201 0.2941013 8.074 6.79e-16 ***
DESTIN_ID559 2.0449292 0.2921134 7.000 2.55e-12 ***
DESTIN_ID560 5.0726648 0.2904398 17.465 < 2e-16 ***
DESTIN_ID562 1.4476891 0.2998926 4.827 1.38e-06 ***
DESTIN_ID577 1.3522386 0.2986802 4.527 5.97e-06 ***
DESTIN_ID578 4.9322682 0.2904376 16.982 < 2e-16 ***
DESTIN_ID595 2.0576400 0.2959442 6.953 3.58e-12 ***
DESTIN_ID596 3.7453499 0.2908335 12.878 < 2e-16 ***
DESTIN_ID597 4.4005987 0.2905346 15.147 < 2e-16 ***
DESTIN_ID598 5.6672951 0.2904000 19.515 < 2e-16 ***
DESTIN_ID60 1.0950442 0.4087474 2.679 0.007384 **
DESTIN_ID600 5.5538338 0.2906580 19.108 < 2e-16 ***
DESTIN_ID61 1.4432282 0.2963042 4.871 1.11e-06 ***
DESTIN_ID613 2.5308795 0.2992329 8.458 < 2e-16 ***
DESTIN_ID614 1.2436623 0.3020880 4.117 3.84e-05 ***
DESTIN_ID615 5.3170537 0.2904472 18.306 < 2e-16 ***
DESTIN_ID616 6.0168111 0.2903888 20.720 < 2e-16 ***
DESTIN_ID617 3.8775130 0.2909655 13.326 < 2e-16 ***
DESTIN_ID62 2.0524472 0.2958695 6.937 4.01e-12 ***
DESTIN_ID633 2.6803632 0.2934252 9.135 < 2e-16 ***
DESTIN_ID634 4.8691347 0.2905232 16.760 < 2e-16 ***
DESTIN_ID635 3.6798440 0.2908471 12.652 < 2e-16 ***
DESTIN_ID636 5.3972020 0.2904159 18.584 < 2e-16 ***
DESTIN_ID638 1.7831155 0.2960745 6.023 1.72e-09 ***
DESTIN_ID654 3.2265458 0.2911704 11.081 < 2e-16 ***
DESTIN_ID657 1.9415480 0.2950352 6.581 4.68e-11 ***
DESTIN_ID662 2.7357147 0.3131906 8.735 < 2e-16 ***
DESTIN_ID671 3.8821952 0.2913201 13.326 < 2e-16 ***
DESTIN_ID673 2.9462533 0.2912866 10.115 < 2e-16 ***
DESTIN_ID674 4.8812067 0.2904674 16.805 < 2e-16 ***
DESTIN_ID682 3.4146269 0.2968443 11.503 < 2e-16 ***
DESTIN_ID689 2.6807830 0.2965506 9.040 < 2e-16 ***
DESTIN_ID690 4.2412283 0.2908643 14.581 < 2e-16 ***
DESTIN_ID691 2.9142619 0.2914797 9.998 < 2e-16 ***
DESTIN_ID692 5.6286005 0.2904040 19.382 < 2e-16 ***
DESTIN_ID693 3.3054378 0.2913847 11.344 < 2e-16 ***
DESTIN_ID695 5.2508878 0.2904945 18.076 < 2e-16 ***
DESTIN_ID700 3.9928102 0.2929710 13.629 < 2e-16 ***
DESTIN_ID710 2.1297692 0.2934227 7.258 3.92e-13 ***
DESTIN_ID711 4.6056474 0.2904761 15.856 < 2e-16 ***
DESTIN_ID712 3.8395577 0.2906228 13.211 < 2e-16 ***
DESTIN_ID713 3.9361351 0.2909779 13.527 < 2e-16 ***
DESTIN_ID714 4.4573702 0.2906250 15.337 < 2e-16 ***
DESTIN_ID715 3.0568908 0.2913500 10.492 < 2e-16 ***
DESTIN_ID727 0.9677436 0.3173943 3.049 0.002296 **
DESTIN_ID728 5.3369071 0.2904956 18.372 < 2e-16 ***
DESTIN_ID729 6.2940057 0.2903835 21.675 < 2e-16 ***
DESTIN_ID730 4.5437661 0.2904927 15.642 < 2e-16 ***
DESTIN_ID731 5.2965594 0.2904852 18.233 < 2e-16 ***
DESTIN_ID732 2.8781996 0.2923160 9.846 < 2e-16 ***
DESTIN_ID733 5.0556504 0.2904434 17.407 < 2e-16 ***
DESTIN_ID734 4.3344466 0.2906146 14.915 < 2e-16 ***
DESTIN_ID738 3.8983115 0.2923851 13.333 < 2e-16 ***
DESTIN_ID746 2.4399100 0.2983998 8.177 2.92e-16 ***
DESTIN_ID748 2.8871554 0.2912214 9.914 < 2e-16 ***
DESTIN_ID749 4.8864916 0.2904672 16.823 < 2e-16 ***
DESTIN_ID750 4.9273818 0.2904448 16.965 < 2e-16 ***
DESTIN_ID751 4.7010748 0.2905343 16.181 < 2e-16 ***
DESTIN_ID752 4.2409249 0.2906401 14.592 < 2e-16 ***
DESTIN_ID753 6.4892313 0.2903859 22.347 < 2e-16 ***
DESTIN_ID754 5.8380656 0.2904557 20.100 < 2e-16 ***
DESTIN_ID757 1.4250324 0.3174535 4.489 7.16e-06 ***
DESTIN_ID764 1.0456843 0.3549441 2.946 0.003219 **
DESTIN_ID766 4.6511380 0.2905506 16.008 < 2e-16 ***
DESTIN_ID767 5.4282402 0.2904423 18.690 < 2e-16 ***
DESTIN_ID768 4.4229230 0.2905141 15.224 < 2e-16 ***
DESTIN_ID769 3.5986291 0.2907100 12.379 < 2e-16 ***
DESTIN_ID770 4.6903295 0.2904935 16.146 < 2e-16 ***
DESTIN_ID771 4.6762982 0.2904727 16.099 < 2e-16 ***
DESTIN_ID772 4.2196973 0.2906136 14.520 < 2e-16 ***
DESTIN_ID773 6.1722379 0.2904844 21.248 < 2e-16 ***
DESTIN_ID774 2.0737287 0.3051327 6.796 1.07e-11 ***
DESTIN_ID775 1.2334952 0.3122664 3.950 7.81e-05 ***
DESTIN_ID776 3.0767508 0.2943723 10.452 < 2e-16 ***
DESTIN_ID78 2.9511280 0.3232573 9.129 < 2e-16 ***
DESTIN_ID784 3.2568598 0.2936494 11.091 < 2e-16 ***
DESTIN_ID785 3.3741071 0.2913280 11.582 < 2e-16 ***
DESTIN_ID786 4.0886556 0.2908392 14.058 < 2e-16 ***
DESTIN_ID787 4.7328592 0.2907974 16.275 < 2e-16 ***
DESTIN_ID788 6.0968057 0.2903857 20.996 < 2e-16 ***
DESTIN_ID789 5.8266373 0.2904599 20.060 < 2e-16 ***
DESTIN_ID79 -2.7071209 0.7648968 -3.539 0.000401 ***
DESTIN_ID790 2.6952348 0.2913976 9.249 < 2e-16 ***
DESTIN_ID791 3.9826012 0.2907523 13.698 < 2e-16 ***
DESTIN_ID792 3.0438126 0.2910688 10.457 < 2e-16 ***
DESTIN_ID793 0.9686565 0.3372872 2.872 0.004080 **
DESTIN_ID794 1.4346579 0.3047555 4.708 2.51e-06 ***
DESTIN_ID795 3.7024682 0.2924439 12.660 < 2e-16 ***
DESTIN_ID80 2.3289608 0.2931135 7.946 1.93e-15 ***
DESTIN_ID803 3.6126977 0.2911221 12.410 < 2e-16 ***
DESTIN_ID804 3.9721413 0.2907629 13.661 < 2e-16 ***
DESTIN_ID805 1.7436912 0.2969988 5.871 4.33e-09 ***
DESTIN_ID806 5.1384007 0.2904479 17.691 < 2e-16 ***
DESTIN_ID807 3.9817463 0.2910361 13.681 < 2e-16 ***
DESTIN_ID809 4.9570204 0.2904466 17.067 < 2e-16 ***
DESTIN_ID81 4.6949643 0.3051327 15.387 < 2e-16 ***
DESTIN_ID810 2.6298204 0.2916037 9.018 < 2e-16 ***
DESTIN_ID811 2.9512200 0.2921025 10.103 < 2e-16 ***
DESTIN_ID812 1.7980667 0.2966187 6.062 1.35e-09 ***
DESTIN_ID813 3.3326626 0.2915844 11.429 < 2e-16 ***
DESTIN_ID814 2.2291019 0.2978060 7.485 7.15e-14 ***
DESTIN_ID82 1.1437509 0.5001671 2.287 0.022211 *
DESTIN_ID822 4.0191265 0.2921179 13.759 < 2e-16 ***
DESTIN_ID823 4.2786602 0.2905611 14.726 < 2e-16 ***
DESTIN_ID824 1.5364964 0.2951183 5.206 1.93e-07 ***
DESTIN_ID825 4.1038715 0.2907125 14.117 < 2e-16 ***
DESTIN_ID826 4.8307455 0.2904794 16.630 < 2e-16 ***
DESTIN_ID829 4.6339318 0.2904887 15.952 < 2e-16 ***
DESTIN_ID831 4.7500259 0.2907083 16.339 < 2e-16 ***
DESTIN_ID832 1.7353461 0.2961133 5.860 4.62e-09 ***
DESTIN_ID833 2.9133055 0.2917410 9.986 < 2e-16 ***
DESTIN_ID840 4.0080521 0.2910090 13.773 < 2e-16 ***
DESTIN_ID841 4.7133386 0.2904977 16.225 < 2e-16 ***
DESTIN_ID842 5.6599775 0.2904064 19.490 < 2e-16 ***
DESTIN_ID843 1.9746548 0.2941318 6.714 1.90e-11 ***
DESTIN_ID844 2.6173195 0.2930749 8.931 < 2e-16 ***
DESTIN_ID845 4.4561637 0.2906402 15.332 < 2e-16 ***
DESTIN_ID846 1.7204355 0.2944237 5.843 5.11e-09 ***
DESTIN_ID847 6.5330324 0.2903802 22.498 < 2e-16 ***
DESTIN_ID850 0.6030462 0.7648590 0.788 0.430439
DESTIN_ID851 6.3521709 0.2904355 21.871 < 2e-16 ***
DESTIN_ID852 2.0015358 0.2951563 6.781 1.19e-11 ***
DESTIN_ID859 4.0006433 0.2909627 13.750 < 2e-16 ***
DESTIN_ID860 5.7733341 0.2904503 19.877 < 2e-16 ***
DESTIN_ID861 6.5408217 0.2903806 22.525 < 2e-16 ***
DESTIN_ID862 2.3615554 0.2938861 8.036 9.31e-16 ***
DESTIN_ID863 3.8967276 0.2909432 13.393 < 2e-16 ***
DESTIN_ID864 2.5379493 0.2919513 8.693 < 2e-16 ***
DESTIN_ID865 5.3817671 0.2904568 18.529 < 2e-16 ***
DESTIN_ID866 3.0781334 0.2910650 10.575 < 2e-16 ***
DESTIN_ID867 4.9550472 0.2905146 17.056 < 2e-16 ***
DESTIN_ID869 1.8072820 0.3038060 5.949 2.70e-09 ***
DESTIN_ID871 1.9939051 0.2942594 6.776 1.24e-11 ***
DESTIN_ID872 6.5982260 0.2904560 22.717 < 2e-16 ***
DESTIN_ID878 4.4286128 0.2906101 15.239 < 2e-16 ***
DESTIN_ID879 5.0947962 0.2904381 17.542 < 2e-16 ***
DESTIN_ID880 4.8723619 0.2904807 16.773 < 2e-16 ***
DESTIN_ID882 4.3626032 0.2907035 15.007 < 2e-16 ***
DESTIN_ID883 3.4657618 0.2910405 11.908 < 2e-16 ***
DESTIN_ID884 3.2131091 0.2912009 11.034 < 2e-16 ***
DESTIN_ID885 4.8003174 0.2904658 16.526 < 2e-16 ***
DESTIN_ID886 4.6684994 0.2906479 16.062 < 2e-16 ***
DESTIN_ID890 2.2880270 0.2921290 7.832 4.79e-15 ***
DESTIN_ID891 4.2635651 0.3842361 11.096 < 2e-16 ***
DESTIN_ID897 4.4873976 0.2906954 15.437 < 2e-16 ***
DESTIN_ID898 4.5884786 0.2905809 15.791 < 2e-16 ***
DESTIN_ID899 3.6764967 0.2907485 12.645 < 2e-16 ***
DESTIN_ID900 3.5714729 0.2909620 12.275 < 2e-16 ***
DESTIN_ID901 4.6642623 0.2905594 16.053 < 2e-16 ***
DESTIN_ID902 3.8577680 0.2908725 13.263 < 2e-16 ***
DESTIN_ID903 3.0444847 0.2930089 10.390 < 2e-16 ***
DESTIN_ID904 5.3832011 0.2904570 18.534 < 2e-16 ***
DESTIN_ID905 4.6111005 0.2905886 15.868 < 2e-16 ***
DESTIN_ID907 2.5919390 0.2950250 8.785 < 2e-16 ***
DESTIN_ID909 5.5978503 0.2904361 19.274 < 2e-16 ***
DESTIN_ID910 5.6930107 0.2904362 19.602 < 2e-16 ***
DESTIN_ID915 2.8088959 0.2944389 9.540 < 2e-16 ***
DESTIN_ID916 4.4884338 0.2909836 15.425 < 2e-16 ***
DESTIN_ID917 3.5222487 0.2910753 12.101 < 2e-16 ***
DESTIN_ID918 3.5964217 0.2909975 12.359 < 2e-16 ***
DESTIN_ID919 2.6918795 0.2919044 9.222 < 2e-16 ***
DESTIN_ID920 5.7499155 0.2904264 19.798 < 2e-16 ***
DESTIN_ID922 3.7294368 0.2912070 12.807 < 2e-16 ***
DESTIN_ID923 5.1934315 0.2904804 17.879 < 2e-16 ***
DESTIN_ID927 4.0907647 0.2909170 14.062 < 2e-16 ***
DESTIN_ID928 4.8533767 0.2905221 16.706 < 2e-16 ***
DESTIN_ID929 2.6044944 0.2929267 8.891 < 2e-16 ***
DESTIN_ID935 3.9782703 0.2909819 13.672 < 2e-16 ***
DESTIN_ID936 4.5476848 0.2906058 15.649 < 2e-16 ***
DESTIN_ID937 4.9482849 0.2905224 17.032 < 2e-16 ***
DESTIN_ID938 4.0101052 0.2907731 13.791 < 2e-16 ***
DESTIN_ID939 4.7352356 0.2905088 16.300 < 2e-16 ***
DESTIN_ID945 4.5918899 0.2911301 15.773 < 2e-16 ***
DESTIN_ID947 4.9875656 0.2904728 17.171 < 2e-16 ***
DESTIN_ID948 4.9750350 0.2905340 17.124 < 2e-16 ***
DESTIN_ID953 5.3013206 0.2905248 18.247 < 2e-16 ***
DESTIN_ID954 4.1140720 0.2907516 14.150 < 2e-16 ***
DESTIN_ID955 4.9884867 0.2905202 17.171 < 2e-16 ***
DESTIN_ID956 4.1171706 0.2907964 14.158 < 2e-16 ***
DESTIN_ID964 0.8003612 0.3298460 2.426 0.015247 *
DESTIN_ID966 5.4324189 0.2904482 18.704 < 2e-16 ***
DESTIN_ID967 5.3258725 0.2905575 18.330 < 2e-16 ***
DESTIN_ID972 4.5323835 0.2907549 15.588 < 2e-16 ***
DESTIN_ID973 3.0300512 0.2919553 10.378 < 2e-16 ***
DESTIN_ID974 3.5085139 0.2909587 12.058 < 2e-16 ***
DESTIN_ID975 3.8500940 0.2908686 13.237 < 2e-16 ***
DESTIN_ID977 5.0118921 0.2905114 17.252 < 2e-16 ***
DESTIN_ID983 1.8172743 0.3700973 4.910 9.10e-07 ***
DESTIN_ID985 4.3945621 0.2905833 15.123 < 2e-16 ***
DESTIN_ID986 2.7430611 0.2915051 9.410 < 2e-16 ***
DESTIN_ID99 -0.2010924 0.3886413 -0.517 0.604860
DESTIN_ID990 2.4634849 0.2966164 8.305 < 2e-16 ***
DESTIN_ID991 2.9602727 0.2950549 10.033 < 2e-16 ***
DESTIN_ID992 2.9189412 0.2971156 9.824 < 2e-16 ***
DESTIN_ID993 5.6485443 0.2904308 19.449 < 2e-16 ***
DESTIN_ID994 3.0247006 0.2921785 10.352 < 2e-16 ***
DESTIN_ID995 4.4975651 0.2906126 15.476 < 2e-16 ***
log(dists) -1.5664857 0.0004722 -3317.229 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 29522779 on 62704 degrees of freedom
Residual deviance: 6316372 on 61068 degrees of freedom
AIC: 6616746
Number of Fisher Scoring iterations: 7Similar to the Unconstrained Model, it can be seen that all p-value of each factor is much lower than 0.05, showing that they are all statistically significant.
Let’s calculated the R-Squared value.
CalcRSquared(dbcSIM$data$TOTAL_TRIP, dbcSIM$fitted.values)[1] 0.5992796The R-Squared value indicates that the model can account for roughly 59.93% of the variation in the number of trips between each pair of origin-destination.
Model Comparison
The Root Mean Squared Error (RSME) of each model is a good comparison, giving a gauge of the deviation between the actual values and predicted values. The RSME can be calculated using the compare_performance() function of the performance package.
model_list <- list(unconstrained = uncSIM,
originConstrained = orcSIM,
destinationConstrained = decSIM,
doublyConstrained = dbcSIM)mtric <- c('AIC', 'RMSE')
compare_performance(model_list,
metrics = mtric)# Comparison of Model Performance Indices
Name | Model | AIC (weights) | RMSE
----------------------------------------------------------
unconstrained | glm | 1.3e+07 (<.001) | 432.350
originConstrained | glm | 9.8e+06 (<.001) | 393.713
destinationConstrained | glm | 9.1e+06 (<.001) | 383.132
doublyConstrained | glm | 6.6e+06 (>.999) | 336.315From this Model Comparison, the Doubly Constrained Model as the lowest RMSE, indicating that its fitted values is the closest to the actual values compared to the other models. Additionally, the Akaike Information Criterion (AIC), which tends to prefer less complex models with better explanatory power, tells us that the Doubly Constrained Model is the most appropriate due to it having the lowest value.
Thus, the Doubly Constrained Model would be the most appropriate model for our purpose. Before moving on to examine it in further depth, the fitted values can be visualized.
Visualizing Fitted Values
Aside from the model comparison, the fitted values can be plotted against the actual values in order to roughly gauge the appropriateness of each model.
Firstly, the fitted values in each model must be extracted.
df <- as.data.frame(uncSIM$fitted.values) %>%
round(digits = 0)Next, we will join the values to our final data frame.
final_df_with_fit <- final_df %>%
cbind(df) %>%
rename(uncTRIPS = "uncSIM$fitted.values")These steps can be repeated for the other models.
df <- as.data.frame(orcSIM$fitted.values) %>%
round(digits = 0)
final_df_with_fit <- final_df_with_fit %>%
cbind(df) %>%
rename(orcTRIPS = 'orcSIM$fitted.values')
df <- as.data.frame(decSIM$fitted.values) %>%
round(digits = 0)
final_df_with_fit <- final_df_with_fit %>%
cbind(df) %>%
rename(decTRIPS = 'decSIM$fitted.values')
df <- as.data.frame(dbcSIM$fitted.values) %>%
round(digits = 0)
final_df_with_fit <- final_df_with_fit %>%
cbind(df) %>%
rename(dbcTRIPS = 'dbcSIM$fitted.values')The four scatter plots of actual and predicted values can be plotted together for ease of comparison using ggplot2.
unc_p <- ggplot(final_df_with_fit,
aes(x = uncTRIPS,
y = TOTAL_TRIP))+
geom_point()+
geom_smooth(method = lm)+
ggtitle('Actual and Fitted Values in Unconstrained Model')+
theme(plot.title=element_text(size=7))
orc_p <- ggplot(data = final_df_with_fit,
aes(x = orcTRIPS,
y = TOTAL_TRIP)) +
geom_point() +
geom_smooth(method = lm)+
ggtitle('Actual and Fitted Values in Origin-Constrained Model')+
theme(plot.title=element_text(size=7))
dec_p <- ggplot(data = final_df_with_fit,
aes(x = decTRIPS,
y = TOTAL_TRIP)) +
geom_point() +
geom_smooth(method = lm)+
ggtitle('Actual and Fitted Values in Destination-Constrained Model')+
theme(plot.title=element_text(size=7))
dbc_p <- ggplot(data = final_df_with_fit,
aes(x = dbcTRIPS,
y = TOTAL_TRIP)) +
geom_point() +
geom_smooth(method = lm)+
ggtitle('Actual and Fitted Values in Doubly-Constrained Model')+
theme(plot.title=element_text(size=7))
ggarrange(unc_p, orc_p, dec_p, dbc_p,
ncol = 2,
nrow = 2)
From a brief examination, it is identifiable that the Doubly Constrained Model provides the best fit line between the predicted values and the actual values.
Analyzing Chosen Model
The coefficient values of the Doubly Constrained Model can be displayed again for further analysis of travel during the Weekend/Holiday Morning Peak 11am - 2pm (11:00 - 14:00).
summary(dbcSIM)
Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + DESTIN_ID + log(dists),
family = poisson(link = "log"), data = final_df, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 10.4310925 0.2978416 35.022 < 2e-16 ***
ORIG_ID1001 2.7754328 0.0758391 36.596 < 2e-16 ***
ORIG_ID1002 -1.7220653 0.1468629 -11.726 < 2e-16 ***
ORIG_ID1003 -0.1050412 0.0828673 -1.268 0.204947
ORIG_ID1004 3.8688791 0.0733498 52.746 < 2e-16 ***
ORIG_ID1005 1.0588770 0.0752656 14.069 < 2e-16 ***
ORIG_ID101 4.6768380 0.0743947 62.865 < 2e-16 ***
ORIG_ID1010 0.6964370 0.0755526 9.218 < 2e-16 ***
ORIG_ID1011 0.3053156 0.0773245 3.948 7.86e-05 ***
ORIG_ID1012 -0.3035267 0.0813000 -3.733 0.000189 ***
ORIG_ID1013 1.2450565 0.0743601 16.744 < 2e-16 ***
ORIG_ID1014 0.7526468 0.0763005 9.864 < 2e-16 ***
ORIG_ID102 -2.3116921 0.1872970 -12.342 < 2e-16 ***
ORIG_ID1023 1.8718268 0.0738116 25.360 < 2e-16 ***
ORIG_ID1024 1.9509861 0.0736738 26.481 < 2e-16 ***
ORIG_ID1025 2.3582143 0.0742603 31.756 < 2e-16 ***
ORIG_ID1028 0.4533870 0.0763183 5.941 2.84e-09 ***
ORIG_ID1030 -0.3575707 0.0835015 -4.282 1.85e-05 ***
ORIG_ID1031 1.8658225 0.0736868 25.321 < 2e-16 ***
ORIG_ID1033 1.5431184 0.0740896 20.828 < 2e-16 ***
ORIG_ID1040 -0.2626777 0.0959345 -2.738 0.006180 **
ORIG_ID1041 0.7284557 0.0763897 9.536 < 2e-16 ***
ORIG_ID1042 2.0186672 0.0736033 27.426 < 2e-16 ***
ORIG_ID1043 1.3939281 0.0743778 18.741 < 2e-16 ***
ORIG_ID1048 0.4586953 0.0756790 6.061 1.35e-09 ***
ORIG_ID1049 1.4320041 0.0739063 19.376 < 2e-16 ***
ORIG_ID1050 2.3320868 0.0735051 31.727 < 2e-16 ***
ORIG_ID1061 2.5485337 0.0736728 34.593 < 2e-16 ***
ORIG_ID1062 2.7309578 0.0735536 37.129 < 2e-16 ***
ORIG_ID1063 0.8729493 0.0759756 11.490 < 2e-16 ***
ORIG_ID1064 -0.7635956 0.2063069 -3.701 0.000215 ***
ORIG_ID1066 1.1929544 0.0742964 16.057 < 2e-16 ***
ORIG_ID1067 1.6302567 0.0738077 22.088 < 2e-16 ***
ORIG_ID1068 2.1946106 0.0735236 29.849 < 2e-16 ***
ORIG_ID1069 1.2724123 0.0740280 17.188 < 2e-16 ***
ORIG_ID1071 0.5968840 0.0758039 7.874 3.43e-15 ***
ORIG_ID1078 -0.5924827 0.1029501 -5.755 8.66e-09 ***
ORIG_ID1080 1.8152737 0.0739494 24.548 < 2e-16 ***
ORIG_ID1081 1.8095432 0.0740084 24.450 < 2e-16 ***
ORIG_ID1082 1.1877726 0.0759125 15.647 < 2e-16 ***
ORIG_ID1086 1.0262281 0.0743830 13.797 < 2e-16 ***
ORIG_ID1087 1.5668995 0.0738183 21.226 < 2e-16 ***
ORIG_ID1089 1.7582681 0.0738546 23.807 < 2e-16 ***
ORIG_ID1090 0.7758343 0.0750624 10.336 < 2e-16 ***
ORIG_ID1097 1.5398543 0.0831298 18.523 < 2e-16 ***
ORIG_ID1100 2.2146495 0.0737437 30.032 < 2e-16 ***
ORIG_ID1101 -0.1779375 0.0896731 -1.984 0.047223 *
ORIG_ID1102 0.5017051 0.0816010 6.148 7.83e-10 ***
ORIG_ID1104 1.8968553 0.0736790 25.745 < 2e-16 ***
ORIG_ID1105 1.7629435 0.0736350 23.942 < 2e-16 ***
ORIG_ID1106 1.2759050 0.0753044 16.943 < 2e-16 ***
ORIG_ID1107 0.6394160 0.0752939 8.492 < 2e-16 ***
ORIG_ID1108 0.9768358 0.0746647 13.083 < 2e-16 ***
ORIG_ID1115 -0.6214128 0.1066031 -5.829 5.57e-09 ***
ORIG_ID1116 0.8933824 0.0891423 10.022 < 2e-16 ***
ORIG_ID1119 0.2791895 0.0766194 3.644 0.000269 ***
ORIG_ID1120 1.2684779 0.0760844 16.672 < 2e-16 ***
ORIG_ID1123 0.4678125 0.0749107 6.245 4.24e-10 ***
ORIG_ID1124 1.0546134 0.0741507 14.223 < 2e-16 ***
ORIG_ID1125 1.7827081 0.0736451 24.207 < 2e-16 ***
ORIG_ID1128 1.5868008 0.0739741 21.451 < 2e-16 ***
ORIG_ID1138 0.9343390 0.0750328 12.452 < 2e-16 ***
ORIG_ID1139 2.2003353 0.0740634 29.709 < 2e-16 ***
ORIG_ID1140 1.5778046 0.0754712 20.906 < 2e-16 ***
ORIG_ID1142 0.2991448 0.0750981 3.983 6.79e-05 ***
ORIG_ID1143 1.9983353 0.0735126 27.184 < 2e-16 ***
ORIG_ID1144 0.7768248 0.0748878 10.373 < 2e-16 ***
ORIG_ID1145 1.0088526 0.0747013 13.505 < 2e-16 ***
ORIG_ID1146 1.3284454 0.0744099 17.853 < 2e-16 ***
ORIG_ID1147 0.7982002 0.0767239 10.404 < 2e-16 ***
ORIG_ID1152 -2.1681757 0.1535419 -14.121 < 2e-16 ***
ORIG_ID1153 1.1068219 0.0758782 14.587 < 2e-16 ***
ORIG_ID1157 2.4599706 0.0736736 33.390 < 2e-16 ***
ORIG_ID1158 0.9014158 0.0757400 11.901 < 2e-16 ***
ORIG_ID116 4.4177538 0.0786216 56.190 < 2e-16 ***
ORIG_ID1161 2.8742070 0.0734311 39.142 < 2e-16 ***
ORIG_ID1162 1.7488134 0.0736415 23.748 < 2e-16 ***
ORIG_ID1163 2.4080847 0.0734635 32.779 < 2e-16 ***
ORIG_ID1164 1.0130876 0.0747091 13.560 < 2e-16 ***
ORIG_ID1167 0.2382702 0.0809426 2.944 0.003243 **
ORIG_ID117 0.4618132 0.2059829 2.242 0.024962 *
ORIG_ID1171 -0.7979885 0.1053635 -7.574 3.63e-14 ***
ORIG_ID1172 2.0580695 0.0745399 27.610 < 2e-16 ***
ORIG_ID1173 0.9166581 0.0766275 11.963 < 2e-16 ***
ORIG_ID1176 1.1839185 0.0744894 15.894 < 2e-16 ***
ORIG_ID1177 2.0141865 0.0741610 27.160 < 2e-16 ***
ORIG_ID118 0.3670703 0.0968323 3.791 0.000150 ***
ORIG_ID1180 2.0207737 0.0735771 27.465 < 2e-16 ***
ORIG_ID1181 1.8119265 0.0735337 24.641 < 2e-16 ***
ORIG_ID1183 -0.7291457 0.0824674 -8.842 < 2e-16 ***
ORIG_ID1184 1.5704364 0.0739319 21.242 < 2e-16 ***
ORIG_ID1186 -1.3408190 0.1231967 -10.884 < 2e-16 ***
ORIG_ID119 -0.5801333 0.0900848 -6.440 1.20e-10 ***
ORIG_ID1192 -0.6232604 0.0858844 -7.257 3.96e-13 ***
ORIG_ID1193 0.1984993 0.0768782 2.582 0.009823 **
ORIG_ID1194 -0.6107648 0.0807192 -7.567 3.83e-14 ***
ORIG_ID1195 2.7801158 0.0735663 37.791 < 2e-16 ***
ORIG_ID1196 1.2870185 0.0755276 17.040 < 2e-16 ***
ORIG_ID1199 -0.2976013 0.0767667 -3.877 0.000106 ***
ORIG_ID120 -1.1556931 0.0993110 -11.637 < 2e-16 ***
ORIG_ID1200 1.7101369 0.0736085 23.233 < 2e-16 ***
ORIG_ID1201 1.6711758 0.0736244 22.699 < 2e-16 ***
ORIG_ID1202 1.0431380 0.0740478 14.087 < 2e-16 ***
ORIG_ID1203 1.2099167 0.0747406 16.188 < 2e-16 ***
ORIG_ID1204 1.0702911 0.0752602 14.221 < 2e-16 ***
ORIG_ID1205 -1.9209040 0.2685392 -7.153 8.48e-13 ***
ORIG_ID1207 0.7259643 0.0760014 9.552 < 2e-16 ***
ORIG_ID1208 1.0140026 0.0756533 13.403 < 2e-16 ***
ORIG_ID1209 1.2053231 0.0756125 15.941 < 2e-16 ***
ORIG_ID121 -0.5947091 0.0928025 -6.408 1.47e-10 ***
ORIG_ID1210 -1.3920879 0.1361252 -10.227 < 2e-16 ***
ORIG_ID1211 -1.2443560 0.0926119 -13.436 < 2e-16 ***
ORIG_ID1212 -1.9565631 0.1067667 -18.326 < 2e-16 ***
ORIG_ID1213 3.0357561 0.0734586 41.326 < 2e-16 ***
ORIG_ID1214 1.7273815 0.0741366 23.300 < 2e-16 ***
ORIG_ID1218 1.6012212 0.0739506 21.653 < 2e-16 ***
ORIG_ID1219 2.7637823 0.0733998 37.654 < 2e-16 ***
ORIG_ID122 0.9406783 0.1176571 7.995 1.29e-15 ***
ORIG_ID1220 1.5048936 0.0736651 20.429 < 2e-16 ***
ORIG_ID1221 1.9680142 0.0736026 26.738 < 2e-16 ***
ORIG_ID1222 0.7357257 0.0760711 9.672 < 2e-16 ***
ORIG_ID1225 1.6305811 0.0739958 22.036 < 2e-16 ***
ORIG_ID1226 0.3742663 0.0763507 4.902 9.49e-07 ***
ORIG_ID1227 1.3262722 0.0746517 17.766 < 2e-16 ***
ORIG_ID1229 -0.6331597 0.0877507 -7.215 5.38e-13 ***
ORIG_ID1230 1.4904910 0.0742731 20.068 < 2e-16 ***
ORIG_ID1231 1.6097569 0.0739055 21.781 < 2e-16 ***
ORIG_ID1232 1.4890604 0.0740172 20.118 < 2e-16 ***
ORIG_ID1233 2.5034317 0.0737566 33.942 < 2e-16 ***
ORIG_ID1234 -0.8244409 0.1078743 -7.643 2.13e-14 ***
ORIG_ID1238 0.7333855 0.0742507 9.877 < 2e-16 ***
ORIG_ID1239 0.3276015 0.0745718 4.393 1.12e-05 ***
ORIG_ID1240 2.3652839 0.0734105 32.220 < 2e-16 ***
ORIG_ID1241 1.0096368 0.0746907 13.518 < 2e-16 ***
ORIG_ID1242 -0.3060050 0.0784075 -3.903 9.51e-05 ***
ORIG_ID1243 -1.0861836 0.0890511 -12.197 < 2e-16 ***
ORIG_ID1244 0.3066139 0.0755871 4.056 4.98e-05 ***
ORIG_ID1245 1.5492594 0.0745192 20.790 < 2e-16 ***
ORIG_ID1246 0.7702609 0.0766723 10.046 < 2e-16 ***
ORIG_ID1249 -1.0352433 0.0933437 -11.091 < 2e-16 ***
ORIG_ID1250 2.9639714 0.0734415 40.358 < 2e-16 ***
ORIG_ID1251 2.8125609 0.0734967 38.268 < 2e-16 ***
ORIG_ID1252 1.9471866 0.0740668 26.290 < 2e-16 ***
ORIG_ID1253 -0.3502908 0.0823006 -4.256 2.08e-05 ***
ORIG_ID1256 1.2267608 0.0739401 16.591 < 2e-16 ***
ORIG_ID1257 0.7162959 0.0741285 9.663 < 2e-16 ***
ORIG_ID1258 1.2449235 0.0737459 16.881 < 2e-16 ***
ORIG_ID1259 1.0923739 0.0739926 14.763 < 2e-16 ***
ORIG_ID1260 0.7548736 0.0762750 9.897 < 2e-16 ***
ORIG_ID1261 -0.4052100 0.0777894 -5.209 1.90e-07 ***
ORIG_ID1262 1.9501384 0.0736617 26.474 < 2e-16 ***
ORIG_ID1263 1.4813637 0.0738912 20.048 < 2e-16 ***
ORIG_ID1264 2.0510326 0.0737102 27.826 < 2e-16 ***
ORIG_ID1265 1.8303617 0.0740081 24.732 < 2e-16 ***
ORIG_ID1266 0.9172652 0.0762359 12.032 < 2e-16 ***
ORIG_ID1268 1.1850411 0.0748401 15.834 < 2e-16 ***
ORIG_ID1269 2.1935343 0.0735786 29.812 < 2e-16 ***
ORIG_ID1270 2.3169607 0.0736546 31.457 < 2e-16 ***
ORIG_ID1272 2.4159048 0.0764386 31.606 < 2e-16 ***
ORIG_ID1276 1.7268127 0.0735752 23.470 < 2e-16 ***
ORIG_ID1277 0.8491343 0.0740880 11.461 < 2e-16 ***
ORIG_ID1278 2.1176001 0.0734418 28.834 < 2e-16 ***
ORIG_ID1279 1.8557172 0.0736130 25.209 < 2e-16 ***
ORIG_ID1280 1.0528032 0.0739810 14.231 < 2e-16 ***
ORIG_ID1281 0.7646471 0.0744670 10.268 < 2e-16 ***
ORIG_ID1282 0.8485914 0.0743930 11.407 < 2e-16 ***
ORIG_ID1283 1.3833914 0.0738647 18.729 < 2e-16 ***
ORIG_ID1284 1.8378419 0.0737395 24.923 < 2e-16 ***
ORIG_ID1285 1.3880159 0.0742961 18.682 < 2e-16 ***
ORIG_ID1288 1.9477976 0.0739827 26.328 < 2e-16 ***
ORIG_ID1289 2.8887136 0.0735668 39.267 < 2e-16 ***
ORIG_ID1294 1.5502979 0.0738221 21.000 < 2e-16 ***
ORIG_ID1295 2.8537496 0.0733566 38.902 < 2e-16 ***
ORIG_ID1296 1.8118974 0.0734975 24.653 < 2e-16 ***
ORIG_ID1297 0.3262191 0.0764668 4.266 1.99e-05 ***
ORIG_ID1298 2.1228920 0.0735384 28.868 < 2e-16 ***
ORIG_ID1299 1.6322764 0.0736418 22.165 < 2e-16 ***
ORIG_ID1300 -0.6528614 0.0797729 -8.184 2.75e-16 ***
ORIG_ID1301 2.0530362 0.0735846 27.900 < 2e-16 ***
ORIG_ID1302 2.2230186 0.0734815 30.253 < 2e-16 ***
ORIG_ID1303 2.4303564 0.0735323 33.052 < 2e-16 ***
ORIG_ID1304 -0.0710654 0.0795375 -0.893 0.371599
ORIG_ID1306 1.5171719 0.0747434 20.298 < 2e-16 ***
ORIG_ID1307 2.7499672 0.0736370 37.345 < 2e-16 ***
ORIG_ID1308 2.2526712 0.0743057 30.316 < 2e-16 ***
ORIG_ID1314 1.3436581 0.0737641 18.216 < 2e-16 ***
ORIG_ID1315 1.3003985 0.0736783 17.650 < 2e-16 ***
ORIG_ID1316 0.8311521 0.0748322 11.107 < 2e-16 ***
ORIG_ID1317 1.0007597 0.0743325 13.463 < 2e-16 ***
ORIG_ID1318 1.7533340 0.0736679 23.801 < 2e-16 ***
ORIG_ID1319 1.9771116 0.0735676 26.875 < 2e-16 ***
ORIG_ID1320 2.8339518 0.0733960 38.612 < 2e-16 ***
ORIG_ID1321 1.6218239 0.0736899 22.009 < 2e-16 ***
ORIG_ID1322 1.5693799 0.0737446 21.281 < 2e-16 ***
ORIG_ID1323 0.5135412 0.0766440 6.700 2.08e-11 ***
ORIG_ID1326 2.8238031 0.0736596 38.336 < 2e-16 ***
ORIG_ID1327 2.4789654 0.0739513 33.522 < 2e-16 ***
ORIG_ID1332 -0.2882446 0.0775639 -3.716 0.000202 ***
ORIG_ID1333 0.6567613 0.0742146 8.849 < 2e-16 ***
ORIG_ID1334 2.0271046 0.0734358 27.604 < 2e-16 ***
ORIG_ID1335 2.4960508 0.0734242 33.995 < 2e-16 ***
ORIG_ID1336 1.4171615 0.0738796 19.182 < 2e-16 ***
ORIG_ID1337 3.1756873 0.0733221 43.311 < 2e-16 ***
ORIG_ID1338 0.8365814 0.0741554 11.281 < 2e-16 ***
ORIG_ID1339 1.0721562 0.0740006 14.488 < 2e-16 ***
ORIG_ID1340 3.2561100 0.0733366 44.400 < 2e-16 ***
ORIG_ID1341 0.2414403 0.0759329 3.180 0.001475 **
ORIG_ID1342 0.4190598 0.0775722 5.402 6.58e-08 ***
ORIG_ID1345 2.2751247 0.0740064 30.742 < 2e-16 ***
ORIG_ID1352 0.5084860 0.0758336 6.705 2.01e-11 ***
ORIG_ID1353 1.2060768 0.0737614 16.351 < 2e-16 ***
ORIG_ID1354 2.5247877 0.0733675 34.413 < 2e-16 ***
ORIG_ID1355 2.1172209 0.0735732 28.777 < 2e-16 ***
ORIG_ID1356 1.9537534 0.0735558 26.562 < 2e-16 ***
ORIG_ID1357 2.1119855 0.0734866 28.740 < 2e-16 ***
ORIG_ID1358 1.9736618 0.0738821 26.714 < 2e-16 ***
ORIG_ID1359 2.2355859 0.0734835 30.423 < 2e-16 ***
ORIG_ID136 4.3045361 0.0781941 55.049 < 2e-16 ***
ORIG_ID1360 1.7685405 0.0737016 23.996 < 2e-16 ***
ORIG_ID1364 -2.2401379 0.1619233 -13.835 < 2e-16 ***
ORIG_ID137 0.4461821 0.1060511 4.207 2.59e-05 ***
ORIG_ID1370 -3.9391116 1.0028232 -3.928 8.56e-05 ***
ORIG_ID1371 0.4228589 0.0759768 5.566 2.61e-08 ***
ORIG_ID1372 2.0150206 0.0734771 27.424 < 2e-16 ***
ORIG_ID1373 1.5809708 0.0737254 21.444 < 2e-16 ***
ORIG_ID1374 1.3447582 0.0739993 18.173 < 2e-16 ***
ORIG_ID1375 1.9452044 0.0737807 26.365 < 2e-16 ***
ORIG_ID1376 1.3956066 0.0738120 18.908 < 2e-16 ***
ORIG_ID1377 -0.4292409 0.0775020 -5.538 3.05e-08 ***
ORIG_ID1378 2.3696621 0.0735044 32.238 < 2e-16 ***
ORIG_ID1379 1.3007033 0.0765884 16.983 < 2e-16 ***
ORIG_ID138 0.6854440 0.1341653 5.109 3.24e-07 ***
ORIG_ID1380 1.1769939 0.0753892 15.612 < 2e-16 ***
ORIG_ID1383 0.2596266 0.0826014 3.143 0.001672 **
ORIG_ID1389 1.7179256 0.0852902 20.142 < 2e-16 ***
ORIG_ID139 1.5565155 0.0885751 17.573 < 2e-16 ***
ORIG_ID1390 0.5994609 0.0766988 7.816 5.46e-15 ***
ORIG_ID1391 0.7770724 0.0743692 10.449 < 2e-16 ***
ORIG_ID1392 1.6947364 0.0735560 23.040 < 2e-16 ***
ORIG_ID1393 1.6829565 0.0735810 22.872 < 2e-16 ***
ORIG_ID1394 1.7167461 0.0736420 23.312 < 2e-16 ***
ORIG_ID1395 2.7773277 0.0737638 37.652 < 2e-16 ***
ORIG_ID1396 0.2557296 0.0767069 3.334 0.000857 ***
ORIG_ID1397 0.7938849 0.0806857 9.839 < 2e-16 ***
ORIG_ID1398 1.6688392 0.0742023 22.490 < 2e-16 ***
ORIG_ID140 1.3092601 0.0772378 16.951 < 2e-16 ***
ORIG_ID1401 -0.5372353 0.0964275 -5.571 2.53e-08 ***
ORIG_ID1408 0.6922816 0.0971039 7.129 1.01e-12 ***
ORIG_ID1409 0.7522611 0.0760893 9.887 < 2e-16 ***
ORIG_ID141 -1.6602494 0.1219319 -13.616 < 2e-16 ***
ORIG_ID1410 -0.2585159 0.0804650 -3.213 0.001315 **
ORIG_ID1411 2.0450409 0.0734766 27.833 < 2e-16 ***
ORIG_ID1412 2.3270949 0.0734528 31.682 < 2e-16 ***
ORIG_ID1413 1.8521126 0.0738057 25.094 < 2e-16 ***
ORIG_ID1414 -0.5807894 0.0793228 -7.322 2.45e-13 ***
ORIG_ID1415 0.9185685 0.0742869 12.365 < 2e-16 ***
ORIG_ID1416 0.2833732 0.0758420 3.736 0.000187 ***
ORIG_ID1417 0.2641064 0.0765834 3.449 0.000563 ***
ORIG_ID1418 -0.1885192 0.0804425 -2.344 0.019102 *
ORIG_ID1419 -1.5328737 0.1240313 -12.359 < 2e-16 ***
ORIG_ID142 -0.0651167 0.1016463 -0.641 0.521769
ORIG_ID1420 -0.5989208 0.1003615 -5.968 2.41e-09 ***
ORIG_ID1428 -1.8714841 0.1988047 -9.414 < 2e-16 ***
ORIG_ID1430 0.7811412 0.0759342 10.287 < 2e-16 ***
ORIG_ID1431 -0.5384906 0.0771198 -6.983 2.90e-12 ***
ORIG_ID1432 1.9192863 0.0735299 26.102 < 2e-16 ***
ORIG_ID1433 0.2685875 0.0811204 3.311 0.000930 ***
ORIG_ID1434 0.3833023 0.0753898 5.084 3.69e-07 ***
ORIG_ID1435 1.9511089 0.0738862 26.407 < 2e-16 ***
ORIG_ID1436 0.2612488 0.0760270 3.436 0.000590 ***
ORIG_ID1439 0.2057409 0.0801300 2.568 0.010241 *
ORIG_ID1440 -0.6427462 0.1022344 -6.287 3.24e-10 ***
ORIG_ID1448 2.1944129 0.0749748 29.269 < 2e-16 ***
ORIG_ID1449 1.1904858 0.0738332 16.124 < 2e-16 ***
ORIG_ID1450 1.6469113 0.0737951 22.317 < 2e-16 ***
ORIG_ID1451 2.1793197 0.0735344 29.637 < 2e-16 ***
ORIG_ID1452 0.6794715 0.0743829 9.135 < 2e-16 ***
ORIG_ID1453 1.9272122 0.0735613 26.199 < 2e-16 ***
ORIG_ID1454 1.7132010 0.0747176 22.929 < 2e-16 ***
ORIG_ID1455 0.5381690 0.0751985 7.157 8.27e-13 ***
ORIG_ID1456 2.3213943 0.0737140 31.492 < 2e-16 ***
ORIG_ID1457 2.1138167 0.0739775 28.574 < 2e-16 ***
ORIG_ID1458 -0.4208697 0.1022752 -4.115 3.87e-05 ***
ORIG_ID1468 1.4666231 0.0763571 19.207 < 2e-16 ***
ORIG_ID1469 2.0096141 0.0735098 27.338 < 2e-16 ***
ORIG_ID1470 1.0920828 0.0742876 14.701 < 2e-16 ***
ORIG_ID1471 1.9284911 0.0736717 26.177 < 2e-16 ***
ORIG_ID1472 3.2291336 0.0733465 44.026 < 2e-16 ***
ORIG_ID1473 0.8816589 0.0742748 11.870 < 2e-16 ***
ORIG_ID1474 2.5528299 0.0734832 34.740 < 2e-16 ***
ORIG_ID1475 1.1768688 0.0746874 15.757 < 2e-16 ***
ORIG_ID1476 1.2929134 0.0746117 17.329 < 2e-16 ***
ORIG_ID1477 -1.6476895 0.1206410 -13.658 < 2e-16 ***
ORIG_ID1486 -0.3048776 0.0847486 -3.597 0.000321 ***
ORIG_ID1487 1.8143168 0.0735850 24.656 < 2e-16 ***
ORIG_ID1488 0.2192919 0.0773039 2.837 0.004558 **
ORIG_ID1489 1.4004548 0.0739506 18.938 < 2e-16 ***
ORIG_ID1490 0.7740363 0.0751366 10.302 < 2e-16 ***
ORIG_ID1491 1.4744360 0.0737201 20.000 < 2e-16 ***
ORIG_ID1492 1.6838870 0.0737083 22.845 < 2e-16 ***
ORIG_ID1493 2.2638376 0.0735770 30.768 < 2e-16 ***
ORIG_ID1494 2.2531279 0.0738492 30.510 < 2e-16 ***
ORIG_ID1506 -1.5133001 0.1181597 -12.807 < 2e-16 ***
ORIG_ID1507 2.2028595 0.0734821 29.978 < 2e-16 ***
ORIG_ID1508 1.1630147 0.0739845 15.720 < 2e-16 ***
ORIG_ID1509 1.6246015 0.0751882 21.607 < 2e-16 ***
ORIG_ID1510 1.6773182 0.0737043 22.757 < 2e-16 ***
ORIG_ID1512 2.4020181 0.0734728 32.693 < 2e-16 ***
ORIG_ID1513 2.6890398 0.0739306 36.373 < 2e-16 ***
ORIG_ID1514 1.9087927 0.0741908 25.728 < 2e-16 ***
ORIG_ID1524 1.0090897 0.0760165 13.275 < 2e-16 ***
ORIG_ID1525 1.7091188 0.0737102 23.187 < 2e-16 ***
ORIG_ID1526 1.6894417 0.0737074 22.921 < 2e-16 ***
ORIG_ID1527 1.4249725 0.0744536 19.139 < 2e-16 ***
ORIG_ID1528 1.0081535 0.0742356 13.580 < 2e-16 ***
ORIG_ID1529 0.4404822 0.0751659 5.860 4.62e-09 ***
ORIG_ID1530 0.8405125 0.0746263 11.263 < 2e-16 ***
ORIG_ID1531 1.9081591 0.0736611 25.905 < 2e-16 ***
ORIG_ID1532 1.2463061 0.0749212 16.635 < 2e-16 ***
ORIG_ID1544 1.6332483 0.0739549 22.084 < 2e-16 ***
ORIG_ID1545 1.4518335 0.0737206 19.694 < 2e-16 ***
ORIG_ID1546 1.9754347 0.0736008 26.840 < 2e-16 ***
ORIG_ID1547 1.3051675 0.0740427 17.627 < 2e-16 ***
ORIG_ID1548 2.1022802 0.0736309 28.552 < 2e-16 ***
ORIG_ID1549 2.7875061 0.0734438 37.954 < 2e-16 ***
ORIG_ID1550 2.5530357 0.0734254 34.770 < 2e-16 ***
ORIG_ID1551 -0.1113044 0.0768390 -1.449 0.147466
ORIG_ID1552 2.4110914 0.0736812 32.723 < 2e-16 ***
ORIG_ID156 1.7786223 0.1136453 15.651 < 2e-16 ***
ORIG_ID1562 -2.6464342 0.2868812 -9.225 < 2e-16 ***
ORIG_ID1563 1.6079243 0.0738081 21.785 < 2e-16 ***
ORIG_ID1564 2.2322666 0.0734945 30.373 < 2e-16 ***
ORIG_ID1565 1.3492920 0.0739015 18.258 < 2e-16 ***
ORIG_ID1566 -0.2711126 0.0790896 -3.428 0.000608 ***
ORIG_ID1567 1.8331573 0.0737116 24.869 < 2e-16 ***
ORIG_ID1568 2.1114203 0.0735041 28.725 < 2e-16 ***
ORIG_ID1569 1.6077915 0.0737098 21.812 < 2e-16 ***
ORIG_ID1570 1.9174404 0.0736594 26.031 < 2e-16 ***
ORIG_ID1571 2.8715804 0.0744193 38.587 < 2e-16 ***
ORIG_ID158 -0.2570140 0.1117492 -2.300 0.021453 *
ORIG_ID1582 0.8973302 0.0744435 12.054 < 2e-16 ***
ORIG_ID1583 2.4138947 0.0734415 32.868 < 2e-16 ***
ORIG_ID1584 1.1186917 0.0739699 15.124 < 2e-16 ***
ORIG_ID1585 0.4615187 0.0754309 6.118 9.45e-10 ***
ORIG_ID1587 2.1199382 0.0735741 28.814 < 2e-16 ***
ORIG_ID1588 2.9331152 0.0733787 39.972 < 2e-16 ***
ORIG_ID1589 2.0218762 0.0735681 27.483 < 2e-16 ***
ORIG_ID159 -0.1030994 0.0959131 -1.075 0.282408
ORIG_ID1590 1.6767369 0.0738080 22.718 < 2e-16 ***
ORIG_ID1591 -1.0958932 0.0957810 -11.442 < 2e-16 ***
ORIG_ID160 1.3121645 0.0754199 17.398 < 2e-16 ***
ORIG_ID1600 -0.9703750 0.1676507 -5.788 7.12e-09 ***
ORIG_ID1601 1.2483811 0.0739091 16.891 < 2e-16 ***
ORIG_ID1602 2.0218799 0.0737903 27.400 < 2e-16 ***
ORIG_ID1603 0.7140052 0.0748710 9.536 < 2e-16 ***
ORIG_ID1604 2.5814901 0.0747744 34.524 < 2e-16 ***
ORIG_ID1606 1.9012759 0.0736122 25.828 < 2e-16 ***
ORIG_ID1607 1.3840276 0.0738643 18.737 < 2e-16 ***
ORIG_ID1608 3.0545421 0.0733827 41.625 < 2e-16 ***
ORIG_ID1609 1.9757355 0.0737324 26.796 < 2e-16 ***
ORIG_ID1610 1.5883303 0.0765655 20.745 < 2e-16 ***
ORIG_ID1620 2.4161541 0.0735202 32.864 < 2e-16 ***
ORIG_ID1621 2.1000938 0.0736121 28.529 < 2e-16 ***
ORIG_ID1622 1.5169714 0.0741673 20.453 < 2e-16 ***
ORIG_ID1623 1.1478046 0.0743309 15.442 < 2e-16 ***
ORIG_ID1624 0.9194434 0.0791995 11.609 < 2e-16 ***
ORIG_ID1625 -1.2370806 0.0920588 -13.438 < 2e-16 ***
ORIG_ID1626 2.0497107 0.0736502 27.830 < 2e-16 ***
ORIG_ID1627 2.0690290 0.0735711 28.123 < 2e-16 ***
ORIG_ID1628 1.9486230 0.0736126 26.471 < 2e-16 ***
ORIG_ID1629 1.0241613 0.0747985 13.692 < 2e-16 ***
ORIG_ID1630 0.3694740 0.0832164 4.440 9.00e-06 ***
ORIG_ID1639 1.5487370 0.0738317 20.977 < 2e-16 ***
ORIG_ID1640 2.5754638 0.0734142 35.081 < 2e-16 ***
ORIG_ID1641 2.0043098 0.0735866 27.237 < 2e-16 ***
ORIG_ID1645 1.8795266 0.0738737 25.442 < 2e-16 ***
ORIG_ID1646 1.8498422 0.0736598 25.113 < 2e-16 ***
ORIG_ID1647 3.0274348 0.0734167 41.236 < 2e-16 ***
ORIG_ID1648 -0.2750635 0.0861867 -3.191 0.001415 **
ORIG_ID1658 2.8731575 0.0734373 39.124 < 2e-16 ***
ORIG_ID1659 1.3875143 0.0738610 18.785 < 2e-16 ***
ORIG_ID1660 1.4530016 0.0737989 19.689 < 2e-16 ***
ORIG_ID1661 0.7020232 0.0749487 9.367 < 2e-16 ***
ORIG_ID1663 -1.0684349 0.1148193 -9.305 < 2e-16 ***
ORIG_ID1665 1.4401661 0.0742452 19.397 < 2e-16 ***
ORIG_ID1666 2.9670641 0.0734122 40.416 < 2e-16 ***
ORIG_ID1667 0.6300486 0.0773406 8.146 3.75e-16 ***
ORIG_ID1668 3.2024377 0.0750515 42.670 < 2e-16 ***
ORIG_ID1677 1.5566334 0.0737364 21.111 < 2e-16 ***
ORIG_ID1678 1.9409178 0.0736446 26.355 < 2e-16 ***
ORIG_ID1679 2.1015714 0.0736407 28.538 < 2e-16 ***
ORIG_ID1682 0.6779603 0.0815809 8.310 < 2e-16 ***
ORIG_ID1684 2.3762069 0.0750684 31.654 < 2e-16 ***
ORIG_ID1685 1.9209176 0.0737669 26.040 < 2e-16 ***
ORIG_ID1696 1.7481401 0.0739471 23.640 < 2e-16 ***
ORIG_ID1697 0.1213158 0.0766729 1.582 0.113592
ORIG_ID1698 2.1272913 0.0760867 27.959 < 2e-16 ***
ORIG_ID1699 1.7799447 0.0737659 24.130 < 2e-16 ***
ORIG_ID1702 -0.4569133 0.0985165 -4.638 3.52e-06 ***
ORIG_ID1704 2.0321962 0.0737679 27.549 < 2e-16 ***
ORIG_ID1705 1.8926177 0.0754858 25.073 < 2e-16 ***
ORIG_ID1715 1.8274346 0.0737105 24.792 < 2e-16 ***
ORIG_ID1716 1.0023703 0.0742200 13.505 < 2e-16 ***
ORIG_ID1717 1.2342120 0.0744322 16.582 < 2e-16 ***
ORIG_ID1718 -2.2064565 0.1331226 -16.575 < 2e-16 ***
ORIG_ID1721 -0.6048374 0.1081604 -5.592 2.24e-08 ***
ORIG_ID1723 1.3784243 0.0753493 18.294 < 2e-16 ***
ORIG_ID1734 -1.5760392 0.1107877 -14.226 < 2e-16 ***
ORIG_ID1735 1.0772622 0.0742812 14.502 < 2e-16 ***
ORIG_ID1736 1.8413950 0.0739268 24.908 < 2e-16 ***
ORIG_ID1737 1.8558130 0.0737554 25.162 < 2e-16 ***
ORIG_ID1740 0.0930324 0.0897961 1.036 0.300183
ORIG_ID1742 1.4857929 0.0752984 19.732 < 2e-16 ***
ORIG_ID1753 1.4350672 0.0741003 19.367 < 2e-16 ***
ORIG_ID1754 1.9461848 0.0735943 26.445 < 2e-16 ***
ORIG_ID1755 2.1282841 0.0736721 28.889 < 2e-16 ***
ORIG_ID1758 -0.4858923 0.0944710 -5.143 2.70e-07 ***
ORIG_ID177 0.6961807 0.0930182 7.484 7.19e-14 ***
ORIG_ID1772 -2.4248135 0.2169214 -11.178 < 2e-16 ***
ORIG_ID1773 1.1818881 0.0743907 15.888 < 2e-16 ***
ORIG_ID1774 3.5584441 0.0733227 48.531 < 2e-16 ***
ORIG_ID1775 1.1800906 0.0743433 15.874 < 2e-16 ***
ORIG_ID1776 1.9727524 0.0737321 26.756 < 2e-16 ***
ORIG_ID1778 -0.0602540 0.0940115 -0.641 0.521574
ORIG_ID178 -0.1080496 0.0866215 -1.247 0.212260
ORIG_ID179 -0.2283922 0.1428609 -1.599 0.109886
ORIG_ID1791 1.2728977 0.0744419 17.099 < 2e-16 ***
ORIG_ID1792 -0.5553577 0.0775385 -7.162 7.93e-13 ***
ORIG_ID1793 1.5894769 0.0737255 21.559 < 2e-16 ***
ORIG_ID1794 0.9455652 0.0755466 12.516 < 2e-16 ***
ORIG_ID1795 1.9733442 0.0737151 26.770 < 2e-16 ***
ORIG_ID1796 0.8590677 0.0747426 11.494 < 2e-16 ***
ORIG_ID1797 1.1953489 0.0744695 16.052 < 2e-16 ***
ORIG_ID1811 1.5856455 0.0738967 21.458 < 2e-16 ***
ORIG_ID1812 1.9654514 0.0735366 26.728 < 2e-16 ***
ORIG_ID1813 1.8697551 0.0736821 25.376 < 2e-16 ***
ORIG_ID1814 2.5527159 0.0735177 34.722 < 2e-16 ***
ORIG_ID1815 1.9424935 0.0736970 26.358 < 2e-16 ***
ORIG_ID1816 1.3540143 0.0742350 18.240 < 2e-16 ***
ORIG_ID1817 -0.2717586 0.0816346 -3.329 0.000872 ***
ORIG_ID1830 2.0498084 0.0738726 27.748 < 2e-16 ***
ORIG_ID1831 2.2383006 0.0735246 30.443 < 2e-16 ***
ORIG_ID1832 1.8389945 0.0736327 24.975 < 2e-16 ***
ORIG_ID1833 1.4587115 0.0737493 19.779 < 2e-16 ***
ORIG_ID1834 0.1157293 0.0764206 1.514 0.129931
ORIG_ID1835 2.3766136 0.0735938 32.294 < 2e-16 ***
ORIG_ID1849 1.2491519 0.0744345 16.782 < 2e-16 ***
ORIG_ID1850 1.7962426 0.0736720 24.382 < 2e-16 ***
ORIG_ID1851 -0.6381279 0.1009323 -6.322 2.58e-10 ***
ORIG_ID1852 2.3089055 0.0734467 31.436 < 2e-16 ***
ORIG_ID1853 1.3081733 0.0739723 17.685 < 2e-16 ***
ORIG_ID1854 1.6763829 0.0737669 22.725 < 2e-16 ***
ORIG_ID1855 0.8239115 0.0773478 10.652 < 2e-16 ***
ORIG_ID1868 1.8349764 0.0738116 24.860 < 2e-16 ***
ORIG_ID1869 0.8981684 0.0743964 12.073 < 2e-16 ***
ORIG_ID1870 -0.0045837 0.0813987 -0.056 0.955093
ORIG_ID1871 3.5392051 0.0733297 48.264 < 2e-16 ***
ORIG_ID1872 1.2568623 0.0744703 16.877 < 2e-16 ***
ORIG_ID1873 1.7666114 0.0738561 23.920 < 2e-16 ***
ORIG_ID1887 0.9646223 0.0748792 12.882 < 2e-16 ***
ORIG_ID1888 2.1214465 0.0736507 28.804 < 2e-16 ***
ORIG_ID1889 1.3180619 0.0740492 17.800 < 2e-16 ***
ORIG_ID1890 1.6997691 0.0736099 23.092 < 2e-16 ***
ORIG_ID1891 1.1355657 0.0741781 15.309 < 2e-16 ***
ORIG_ID1892 3.0630083 0.0734016 41.729 < 2e-16 ***
ORIG_ID1893 -0.5970582 0.0950454 -6.282 3.35e-10 ***
ORIG_ID1905 0.3508278 0.1017216 3.449 0.000563 ***
ORIG_ID1906 -0.2568477 0.0779948 -3.293 0.000991 ***
ORIG_ID1907 1.0544613 0.0742676 14.198 < 2e-16 ***
ORIG_ID1908 2.0268721 0.0737001 27.502 < 2e-16 ***
ORIG_ID1909 1.4839480 0.0737162 20.131 < 2e-16 ***
ORIG_ID1910 0.6890530 0.0747510 9.218 < 2e-16 ***
ORIG_ID1911 -2.1266164 0.1199567 -17.728 < 2e-16 ***
ORIG_ID1926 0.9748235 0.0753963 12.929 < 2e-16 ***
ORIG_ID1927 0.4878898 0.0754415 6.467 9.99e-11 ***
ORIG_ID1928 2.2180701 0.0735084 30.174 < 2e-16 ***
ORIG_ID1929 2.2726135 0.0736870 30.841 < 2e-16 ***
ORIG_ID1930 1.6074536 0.0738505 21.766 < 2e-16 ***
ORIG_ID1944 1.6660371 0.0748826 22.249 < 2e-16 ***
ORIG_ID1945 -0.3615392 0.0796121 -4.541 5.59e-06 ***
ORIG_ID1946 1.9717683 0.0737523 26.735 < 2e-16 ***
ORIG_ID1947 2.3837964 0.0734837 32.440 < 2e-16 ***
ORIG_ID1948 2.5091942 0.0735156 34.131 < 2e-16 ***
ORIG_ID1949 1.8395613 0.0740079 24.856 < 2e-16 ***
ORIG_ID195 1.2095281 0.0940566 12.860 < 2e-16 ***
ORIG_ID196 1.2888419 0.0833114 15.470 < 2e-16 ***
ORIG_ID1965 1.1936451 0.0744073 16.042 < 2e-16 ***
ORIG_ID1966 1.0061830 0.0746775 13.474 < 2e-16 ***
ORIG_ID1967 1.3277640 0.0739078 17.965 < 2e-16 ***
ORIG_ID1968 1.8264752 0.0738971 24.716 < 2e-16 ***
ORIG_ID197 0.9146072 0.0787462 11.615 < 2e-16 ***
ORIG_ID1983 0.9222161 0.0761157 12.116 < 2e-16 ***
ORIG_ID1984 0.6093524 0.0757773 8.041 8.88e-16 ***
ORIG_ID1985 1.3570006 0.0742181 18.284 < 2e-16 ***
ORIG_ID1986 1.9145455 0.0737253 25.969 < 2e-16 ***
ORIG_ID1987 0.6358403 0.0829490 7.665 1.78e-14 ***
ORIG_ID2002 -0.6004944 0.1102982 -5.444 5.20e-08 ***
ORIG_ID2003 -0.7259765 0.0895803 -8.104 5.31e-16 ***
ORIG_ID2004 0.6495165 0.0793990 8.180 2.83e-16 ***
ORIG_ID2005 1.6085934 0.0742917 21.652 < 2e-16 ***
ORIG_ID2006 0.4849948 0.0764124 6.347 2.19e-10 ***
ORIG_ID2021 0.5058930 0.0836783 6.046 1.49e-09 ***
ORIG_ID2022 1.0398866 0.0825457 12.598 < 2e-16 ***
ORIG_ID2023 0.8738885 0.0770370 11.344 < 2e-16 ***
ORIG_ID2024 -0.3447146 0.0816035 -4.224 2.40e-05 ***
ORIG_ID2025 -0.1238299 0.0934467 -1.325 0.185125
ORIG_ID2042 -0.3290175 0.0950432 -3.462 0.000537 ***
ORIG_ID2043 0.3224895 0.0811764 3.973 7.11e-05 ***
ORIG_ID2044 0.3636652 0.0774575 4.695 2.67e-06 ***
ORIG_ID2045 0.5628569 0.0891066 6.317 2.67e-10 ***
ORIG_ID2061 0.0440254 0.0972678 0.453 0.650822
ORIG_ID2062 0.7758169 0.0796887 9.736 < 2e-16 ***
ORIG_ID2063 0.0968169 0.0803084 1.206 0.227985
ORIG_ID2064 -1.1997109 0.1100326 -10.903 < 2e-16 ***
ORIG_ID2079 1.8189061 0.0751534 24.203 < 2e-16 ***
ORIG_ID2082 -1.8858559 0.1593556 -11.834 < 2e-16 ***
ORIG_ID2083 -0.3444422 0.0820239 -4.199 2.68e-05 ***
ORIG_ID2098 -0.7671187 0.0858371 -8.937 < 2e-16 ***
ORIG_ID2099 1.3376489 0.0743506 17.991 < 2e-16 ***
ORIG_ID2102 2.8197000 0.0740474 38.080 < 2e-16 ***
ORIG_ID2115 3.8301684 0.0752672 50.888 < 2e-16 ***
ORIG_ID2119 2.0768611 0.0740357 28.052 < 2e-16 ***
ORIG_ID2121 1.2133037 0.0755382 16.062 < 2e-16 ***
ORIG_ID2137 1.6885390 0.0755528 22.349 < 2e-16 ***
ORIG_ID2140 0.3690197 0.0842295 4.381 1.18e-05 ***
ORIG_ID215 0.5618637 0.1478962 3.799 0.000145 ***
ORIG_ID2153 -1.3359050 0.1002279 -13.329 < 2e-16 ***
ORIG_ID2158 1.7869238 0.0761919 23.453 < 2e-16 ***
ORIG_ID216 -0.6092364 0.1115781 -5.460 4.76e-08 ***
ORIG_ID217 -0.6947840 0.1764305 -3.938 8.22e-05 ***
ORIG_ID2177 1.6162252 0.0763818 21.160 < 2e-16 ***
ORIG_ID2178 0.4112638 0.0856179 4.803 1.56e-06 ***
ORIG_ID2196 1.6132311 0.0853738 18.896 < 2e-16 ***
ORIG_ID2197 1.4048488 0.0781434 17.978 < 2e-16 ***
ORIG_ID2267 0.1837011 0.1095959 1.676 0.093705 .
ORIG_ID233 1.7649652 0.0848498 20.801 < 2e-16 ***
ORIG_ID234 -1.0552850 0.1111522 -9.494 < 2e-16 ***
ORIG_ID235 0.3741459 0.0876463 4.269 1.97e-05 ***
ORIG_ID252 3.6336413 0.0787312 46.153 < 2e-16 ***
ORIG_ID253 1.1204997 0.0833933 13.436 < 2e-16 ***
ORIG_ID254 0.4408375 0.0837600 5.263 1.42e-07 ***
ORIG_ID270 -0.5279570 0.2358884 -2.238 0.025210 *
ORIG_ID271 1.0291429 0.0998459 10.307 < 2e-16 ***
ORIG_ID272 0.1959440 0.0912820 2.147 0.031827 *
ORIG_ID290 2.1984032 0.0882325 24.916 < 2e-16 ***
ORIG_ID291 0.5957219 0.1164478 5.116 3.12e-07 ***
ORIG_ID292 0.0710989 0.1011804 0.703 0.482246
ORIG_ID308 3.3174535 0.0801015 41.416 < 2e-16 ***
ORIG_ID309 1.3808214 0.0861497 16.028 < 2e-16 ***
ORIG_ID310 0.3435605 0.0869833 3.950 7.82e-05 ***
ORIG_ID329 1.7569600 0.0837797 20.971 < 2e-16 ***
ORIG_ID330 0.1027453 0.0847680 1.212 0.225483
ORIG_ID347 2.0216344 0.0805549 25.096 < 2e-16 ***
ORIG_ID348 0.0053829 0.0913127 0.059 0.952992
ORIG_ID349 -1.2129311 0.1243964 -9.751 < 2e-16 ***
ORIG_ID366 2.5576795 0.0827949 30.892 < 2e-16 ***
ORIG_ID367 1.2602588 0.0861326 14.632 < 2e-16 ***
ORIG_ID368 2.7802729 0.0734101 37.873 < 2e-16 ***
ORIG_ID369 1.1020723 0.0792902 13.899 < 2e-16 ***
ORIG_ID370 1.9788300 0.0752913 26.282 < 2e-16 ***
ORIG_ID385 -0.2063693 0.1290442 -1.599 0.109773
ORIG_ID386 0.3229627 0.0855516 3.775 0.000160 ***
ORIG_ID387 -0.1316784 0.0802289 -1.641 0.100739
ORIG_ID388 1.1371990 0.0773982 14.693 < 2e-16 ***
ORIG_ID389 1.0319634 0.0782035 13.196 < 2e-16 ***
ORIG_ID40 -1.3391327 0.1801077 -7.435 1.04e-13 ***
ORIG_ID404 0.8580146 0.0937589 9.151 < 2e-16 ***
ORIG_ID405 -0.5308054 0.1069614 -4.963 6.96e-07 ***
ORIG_ID406 -0.4870227 0.0877297 -5.551 2.83e-08 ***
ORIG_ID407 1.6890422 0.0743784 22.709 < 2e-16 ***
ORIG_ID408 0.9765679 0.0760299 12.845 < 2e-16 ***
ORIG_ID42 0.6576025 0.0991381 6.633 3.29e-11 ***
ORIG_ID424 1.2175057 0.0805968 15.106 < 2e-16 ***
ORIG_ID425 -0.0498026 0.0794334 -0.627 0.530677
ORIG_ID426 2.4373924 0.0736329 33.102 < 2e-16 ***
ORIG_ID427 2.2250431 0.0751242 29.618 < 2e-16 ***
ORIG_ID442 0.5757038 0.1001634 5.748 9.05e-09 ***
ORIG_ID443 -2.7663814 0.3103494 -8.914 < 2e-16 ***
ORIG_ID444 1.2313262 0.0760685 16.187 < 2e-16 ***
ORIG_ID445 0.8447687 0.0748472 11.287 < 2e-16 ***
ORIG_ID447 -2.0162950 0.1820646 -11.075 < 2e-16 ***
ORIG_ID448 1.5529058 0.0794868 19.537 < 2e-16 ***
ORIG_ID461 0.9985606 0.0852728 11.710 < 2e-16 ***
ORIG_ID462 1.2318141 0.0779148 15.810 < 2e-16 ***
ORIG_ID463 0.0220263 0.0777204 0.283 0.776867
ORIG_ID464 2.5900352 0.0734215 35.276 < 2e-16 ***
ORIG_ID465 -0.4043409 0.0888132 -4.553 5.30e-06 ***
ORIG_ID466 0.2979955 0.0906659 3.287 0.001014 **
ORIG_ID467 -0.4566026 0.1291225 -3.536 0.000406 ***
ORIG_ID480 0.1797652 0.1097698 1.638 0.101493
ORIG_ID481 1.2922702 0.0799264 16.168 < 2e-16 ***
ORIG_ID482 0.3752927 0.0784686 4.783 1.73e-06 ***
ORIG_ID483 2.3660376 0.0734234 32.225 < 2e-16 ***
ORIG_ID484 2.6620822 0.0734880 36.225 < 2e-16 ***
ORIG_ID486 0.6510981 0.0833852 7.808 5.80e-15 ***
ORIG_ID487 -0.7020452 0.1425363 -4.925 8.42e-07 ***
ORIG_ID488 -2.1330391 0.3103072 -6.874 6.24e-12 ***
ORIG_ID499 0.2513213 0.1018492 2.468 0.013603 *
ORIG_ID500 0.1779572 0.0900269 1.977 0.048074 *
ORIG_ID501 -0.4042626 0.0777611 -5.199 2.01e-07 ***
ORIG_ID502 1.9566128 0.0735194 26.614 < 2e-16 ***
ORIG_ID503 1.6336283 0.0749930 21.784 < 2e-16 ***
ORIG_ID507 0.7375095 0.1031900 7.147 8.86e-13 ***
ORIG_ID508 -0.3033443 0.1475318 -2.056 0.039770 *
ORIG_ID518 -0.6977024 0.1452228 -4.804 1.55e-06 ***
ORIG_ID519 0.7143589 0.0859377 8.313 < 2e-16 ***
ORIG_ID520 1.1081563 0.1110956 9.975 < 2e-16 ***
ORIG_ID521 4.0686241 0.0732192 55.568 < 2e-16 ***
ORIG_ID522 1.8932325 0.0737253 25.680 < 2e-16 ***
ORIG_ID524 -1.9021351 0.1708406 -11.134 < 2e-16 ***
ORIG_ID528 -0.0710341 0.1364461 -0.521 0.602644
ORIG_ID529 0.7301320 0.1100692 6.633 3.28e-11 ***
ORIG_ID530 1.1760000 0.1037974 11.330 < 2e-16 ***
ORIG_ID537 -0.3855680 0.1212900 -3.179 0.001478 **
ORIG_ID538 0.4535153 0.0858585 5.282 1.28e-07 ***
ORIG_ID539 0.1257635 0.0764641 1.645 0.100024
ORIG_ID540 1.5227599 0.0736399 20.678 < 2e-16 ***
ORIG_ID541 -0.8483165 0.1145567 -7.405 1.31e-13 ***
ORIG_ID547 -0.3556326 0.1558601 -2.282 0.022505 *
ORIG_ID548 -0.0886313 0.1472013 -0.602 0.547101
ORIG_ID557 -0.6201326 0.0993330 -6.243 4.29e-10 ***
ORIG_ID558 -0.0460519 0.0822425 -0.560 0.575511
ORIG_ID559 -0.8152058 0.0806104 -10.113 < 2e-16 ***
ORIG_ID560 2.3170332 0.0734927 31.527 < 2e-16 ***
ORIG_ID562 -0.1122694 0.0861530 -1.303 0.192527
ORIG_ID577 -0.5924803 0.0850274 -6.968 3.21e-12 ***
ORIG_ID578 2.1538288 0.0734878 29.309 < 2e-16 ***
ORIG_ID595 0.9412682 0.0780613 12.058 < 2e-16 ***
ORIG_ID596 1.2242845 0.0745485 16.423 < 2e-16 ***
ORIG_ID597 1.5645332 0.0738536 21.184 < 2e-16 ***
ORIG_ID598 3.0085983 0.0733376 41.024 < 2e-16 ***
ORIG_ID60 0.5515879 0.2302069 2.396 0.016573 *
ORIG_ID600 3.1070013 0.0741108 41.924 < 2e-16 ***
ORIG_ID61 1.2029635 0.0814246 14.774 < 2e-16 ***
ORIG_ID613 1.5239814 0.0793119 19.215 < 2e-16 ***
ORIG_ID614 -1.1330288 0.0999629 -11.334 < 2e-16 ***
ORIG_ID615 2.7004054 0.0734693 36.756 < 2e-16 ***
ORIG_ID616 2.7111207 0.0734276 36.922 < 2e-16 ***
ORIG_ID617 1.1322822 0.0752876 15.039 < 2e-16 ***
ORIG_ID62 0.4339237 0.1590036 2.729 0.006352 **
ORIG_ID633 1.0290120 0.0773864 13.297 < 2e-16 ***
ORIG_ID634 2.0175438 0.0738251 27.329 < 2e-16 ***
ORIG_ID635 1.2286513 0.0743660 16.522 < 2e-16 ***
ORIG_ID636 2.6580125 0.0734046 36.210 < 2e-16 ***
ORIG_ID638 0.0175698 0.0824217 0.213 0.831195
ORIG_ID654 0.0332544 0.0771819 0.431 0.666572
ORIG_ID657 -0.2654196 0.0848416 -3.128 0.001758 **
ORIG_ID662 -0.6908291 0.1301058 -5.310 1.10e-07 ***
ORIG_ID671 0.6829072 0.0788439 8.662 < 2e-16 ***
ORIG_ID673 -0.1096740 0.0772172 -1.420 0.155511
ORIG_ID674 2.1299925 0.0735832 28.947 < 2e-16 ***
ORIG_ID682 1.2352856 0.0866419 14.257 < 2e-16 ***
ORIG_ID689 1.2668960 0.0782183 16.197 < 2e-16 ***
ORIG_ID690 1.7290679 0.0744791 23.215 < 2e-16 ***
ORIG_ID691 -0.7699491 0.0815955 -9.436 < 2e-16 ***
ORIG_ID692 2.8274212 0.0733775 38.533 < 2e-16 ***
ORIG_ID693 1.3635196 0.0749418 18.194 < 2e-16 ***
ORIG_ID695 2.8865918 0.0736063 39.217 < 2e-16 ***
ORIG_ID700 1.2686103 0.0827224 15.336 < 2e-16 ***
ORIG_ID710 -1.2149497 0.0845278 -14.373 < 2e-16 ***
ORIG_ID711 1.6948855 0.0736422 23.015 < 2e-16 ***
ORIG_ID712 1.0815901 0.0741732 14.582 < 2e-16 ***
ORIG_ID713 1.6981182 0.0745748 22.771 < 2e-16 ***
ORIG_ID714 2.0319570 0.0740535 27.439 < 2e-16 ***
ORIG_ID715 0.7039227 0.0759035 9.274 < 2e-16 ***
ORIG_ID727 -0.5256543 0.0957152 -5.492 3.98e-08 ***
ORIG_ID728 2.5540047 0.0736570 34.674 < 2e-16 ***
ORIG_ID729 2.7944298 0.0733934 38.075 < 2e-16 ***
ORIG_ID730 1.8586089 0.0736308 25.242 < 2e-16 ***
ORIG_ID731 2.6119925 0.0736788 35.451 < 2e-16 ***
ORIG_ID732 0.6460573 0.0775607 8.330 < 2e-16 ***
ORIG_ID733 2.4856883 0.0735063 33.816 < 2e-16 ***
ORIG_ID734 1.6987103 0.0740606 22.937 < 2e-16 ***
ORIG_ID738 0.9863047 0.0821937 12.000 < 2e-16 ***
ORIG_ID746 0.4843753 0.0840333 5.764 8.21e-09 ***
ORIG_ID748 -0.2037905 0.0767205 -2.656 0.007901 **
ORIG_ID749 1.9953843 0.0735850 27.117 < 2e-16 ***
ORIG_ID750 2.2216951 0.0735005 30.227 < 2e-16 ***
ORIG_ID751 2.0248051 0.0737888 27.441 < 2e-16 ***
ORIG_ID752 1.7992195 0.0740697 24.291 < 2e-16 ***
ORIG_ID753 3.5917471 0.0733415 48.973 < 2e-16 ***
ORIG_ID754 2.9430636 0.0736472 39.962 < 2e-16 ***
ORIG_ID757 -0.4428214 0.1066996 -4.150 3.32e-05 ***
ORIG_ID764 -0.4735174 0.1091532 -4.338 1.44e-05 ***
ORIG_ID766 1.7688909 0.0738735 23.945 < 2e-16 ***
ORIG_ID767 1.7231164 0.0738277 23.340 < 2e-16 ***
ORIG_ID768 1.5963508 0.0737679 21.640 < 2e-16 ***
ORIG_ID769 0.7244027 0.0746209 9.708 < 2e-16 ***
ORIG_ID770 2.0249548 0.0736861 27.481 < 2e-16 ***
ORIG_ID771 2.1318486 0.0735864 28.971 < 2e-16 ***
ORIG_ID772 1.6018850 0.0740420 21.635 < 2e-16 ***
ORIG_ID773 3.4602761 0.0736638 46.974 < 2e-16 ***
ORIG_ID774 0.1584474 0.0921301 1.720 0.085465 .
ORIG_ID775 -0.8304050 0.1092086 -7.604 2.87e-14 ***
ORIG_ID776 1.1744626 0.0802304 14.639 < 2e-16 ***
ORIG_ID78 -0.5761583 0.1010028 -5.704 1.17e-08 ***
ORIG_ID784 1.1511552 0.0783826 14.686 < 2e-16 ***
ORIG_ID785 0.8350763 0.0752744 11.094 < 2e-16 ***
ORIG_ID786 0.8655016 0.0751577 11.516 < 2e-16 ***
ORIG_ID787 2.1516096 0.0742861 28.964 < 2e-16 ***
ORIG_ID788 3.0348997 0.0733478 41.377 < 2e-16 ***
ORIG_ID789 2.8733227 0.0737015 38.986 < 2e-16 ***
ORIG_ID79 1.6002682 0.1374452 11.643 < 2e-16 ***
ORIG_ID790 0.2676489 0.0761563 3.514 0.000441 ***
ORIG_ID791 0.7145296 0.0750799 9.517 < 2e-16 ***
ORIG_ID792 0.5461314 0.0752312 7.259 3.89e-13 ***
ORIG_ID793 -0.7555855 0.1116991 -6.764 1.34e-11 ***
ORIG_ID794 -1.2247180 0.1045633 -11.713 < 2e-16 ***
ORIG_ID795 0.9155356 0.0788512 11.611 < 2e-16 ***
ORIG_ID80 2.2650934 0.0733091 30.898 < 2e-16 ***
ORIG_ID803 0.5189051 0.0765164 6.782 1.19e-11 ***
ORIG_ID804 1.0618144 0.0745772 14.238 < 2e-16 ***
ORIG_ID805 -1.0465742 0.0884791 -11.828 < 2e-16 ***
ORIG_ID806 2.3446779 0.0735059 31.898 < 2e-16 ***
ORIG_ID807 1.0102596 0.0758539 13.318 < 2e-16 ***
ORIG_ID809 2.2164690 0.0735351 30.142 < 2e-16 ***
ORIG_ID81 -0.2174129 0.1782906 -1.219 0.222681
ORIG_ID810 -0.0531908 0.0772318 -0.689 0.491002
ORIG_ID811 0.3752646 0.0781965 4.799 1.59e-06 ***
ORIG_ID812 -0.9657760 0.0918125 -10.519 < 2e-16 ***
ORIG_ID813 -1.1233601 0.0910133 -12.343 < 2e-16 ***
ORIG_ID814 0.3980470 0.0835621 4.763 1.90e-06 ***
ORIG_ID82 0.6649726 0.1297146 5.126 2.95e-07 ***
ORIG_ID822 1.3942210 0.0775907 17.969 < 2e-16 ***
ORIG_ID823 1.3987226 0.0738749 18.934 < 2e-16 ***
ORIG_ID824 -1.3531573 0.0888163 -15.235 < 2e-16 ***
ORIG_ID825 1.4758160 0.0742039 19.889 < 2e-16 ***
ORIG_ID826 2.2066112 0.0735652 29.995 < 2e-16 ***
ORIG_ID829 1.9306896 0.0736518 26.214 < 2e-16 ***
ORIG_ID831 2.3180121 0.0740103 31.320 < 2e-16 ***
ORIG_ID832 -0.6782895 0.0833796 -8.135 4.12e-16 ***
ORIG_ID833 0.1087448 0.0778533 1.397 0.162476
ORIG_ID840 0.7755299 0.0761632 10.182 < 2e-16 ***
ORIG_ID841 1.6302822 0.0737499 22.106 < 2e-16 ***
ORIG_ID842 2.8176963 0.0733633 38.407 < 2e-16 ***
ORIG_ID843 -0.6192905 0.0831085 -7.452 9.22e-14 ***
ORIG_ID844 -0.0538703 0.0835370 -0.645 0.519013
ORIG_ID845 1.7560112 0.0740586 23.711 < 2e-16 ***
ORIG_ID846 -1.1374422 0.0859730 -13.230 < 2e-16 ***
ORIG_ID847 3.5078198 0.0733236 47.840 < 2e-16 ***
ORIG_ID850 -2.7463004 0.2979719 -9.217 < 2e-16 ***
ORIG_ID851 3.3513058 0.0735327 45.576 < 2e-16 ***
ORIG_ID852 -2.3433334 0.1177501 -19.901 < 2e-16 ***
ORIG_ID859 0.8690604 0.0755011 11.511 < 2e-16 ***
ORIG_ID860 2.7792620 0.0735264 37.799 < 2e-16 ***
ORIG_ID861 3.1800688 0.0733384 43.362 < 2e-16 ***
ORIG_ID862 0.1675269 0.0790816 2.118 0.034141 *
ORIG_ID863 1.0658038 0.0752548 14.163 < 2e-16 ***
ORIG_ID864 -0.5002811 0.0796563 -6.280 3.37e-10 ***
ORIG_ID865 2.1590160 0.0737203 29.287 < 2e-16 ***
ORIG_ID866 -0.0465658 0.0764305 -0.609 0.542354
ORIG_ID867 1.9702243 0.0738500 26.679 < 2e-16 ***
ORIG_ID869 -0.0554823 0.0949795 -0.584 0.559119
ORIG_ID871 -1.1396444 0.0844766 -13.491 < 2e-16 ***
ORIG_ID878 1.4032937 0.0741158 18.934 < 2e-16 ***
ORIG_ID879 2.0353663 0.0735182 27.685 < 2e-16 ***
ORIG_ID880 1.8037963 0.0736769 24.483 < 2e-16 ***
ORIG_ID882 1.2927778 0.0744507 17.364 < 2e-16 ***
ORIG_ID883 0.6360937 0.0754878 8.426 < 2e-16 ***
ORIG_ID884 0.3885466 0.0758348 5.124 3.00e-07 ***
ORIG_ID885 2.2966690 0.0735305 31.234 < 2e-16 ***
ORIG_ID886 1.9265801 0.0743590 25.909 < 2e-16 ***
ORIG_ID890 -0.6913383 0.0786810 -8.787 < 2e-16 ***
ORIG_ID891 3.7614707 0.0736217 51.092 < 2e-16 ***
ORIG_ID897 1.5518055 0.0742643 20.896 < 2e-16 ***
ORIG_ID898 1.6395887 0.0739569 22.170 < 2e-16 ***
ORIG_ID899 0.6407421 0.0745761 8.592 < 2e-16 ***
ORIG_ID900 0.4761161 0.0755195 6.305 2.89e-10 ***
ORIG_ID901 2.3364319 0.0736221 31.735 < 2e-16 ***
ORIG_ID902 1.1147288 0.0746603 14.931 < 2e-16 ***
ORIG_ID903 -0.1200305 0.0858529 -1.398 0.162084
ORIG_ID904 2.5762207 0.0735516 35.026 < 2e-16 ***
ORIG_ID905 2.2782338 0.0738537 30.848 < 2e-16 ***
ORIG_ID907 0.2411642 0.0853465 2.826 0.004718 **
ORIG_ID909 2.5724281 0.0735353 34.982 < 2e-16 ***
ORIG_ID910 2.5943680 0.0735520 35.273 < 2e-16 ***
ORIG_ID915 0.1665227 0.0801692 2.077 0.037789 *
ORIG_ID916 1.0855209 0.0764634 14.197 < 2e-16 ***
ORIG_ID917 0.6897887 0.0753958 9.149 < 2e-16 ***
ORIG_ID918 0.6725844 0.0752600 8.937 < 2e-16 ***
ORIG_ID919 -0.2235520 0.0782913 -2.855 0.004298 **
ORIG_ID920 2.2618559 0.0736855 30.696 < 2e-16 ***
ORIG_ID922 1.2760271 0.0755413 16.892 < 2e-16 ***
ORIG_ID923 2.9726229 0.0736188 40.379 < 2e-16 ***
ORIG_ID927 1.1476092 0.0753045 15.240 < 2e-16 ***
ORIG_ID928 2.1591085 0.0737301 29.284 < 2e-16 ***
ORIG_ID929 -0.9401177 0.0869324 -10.814 < 2e-16 ***
ORIG_ID935 1.1604127 0.0747284 15.528 < 2e-16 ***
ORIG_ID936 1.5475276 0.0740774 20.891 < 2e-16 ***
ORIG_ID937 1.7527254 0.0738904 23.721 < 2e-16 ***
ORIG_ID938 0.8667040 0.0749703 11.561 < 2e-16 ***
ORIG_ID939 1.6247441 0.0738392 22.004 < 2e-16 ***
ORIG_ID945 1.8747858 0.0759961 24.670 < 2e-16 ***
ORIG_ID947 2.1638147 0.0736047 29.398 < 2e-16 ***
ORIG_ID948 1.9286427 0.0737809 26.140 < 2e-16 ***
ORIG_ID953 1.6296495 0.0742393 21.951 < 2e-16 ***
ORIG_ID954 0.7802543 0.0751274 10.386 < 2e-16 ***
ORIG_ID955 1.9374051 0.0737800 26.259 < 2e-16 ***
ORIG_ID956 1.2066578 0.0745454 16.187 < 2e-16 ***
ORIG_ID964 -0.6079583 0.1581151 -3.845 0.000121 ***
ORIG_ID966 2.3311172 0.0735704 31.686 < 2e-16 ***
ORIG_ID967 1.5101888 0.0748502 20.176 < 2e-16 ***
ORIG_ID972 1.5249375 0.0743773 20.503 < 2e-16 ***
ORIG_ID973 -0.3132950 0.0799757 -3.917 8.95e-05 ***
ORIG_ID974 0.8010667 0.0746963 10.724 < 2e-16 ***
ORIG_ID975 0.8958214 0.0751090 11.927 < 2e-16 ***
ORIG_ID977 1.7156346 0.0739479 23.201 < 2e-16 ***
ORIG_ID983 -1.7451914 0.1267300 -13.771 < 2e-16 ***
ORIG_ID985 1.3906369 0.0741224 18.761 < 2e-16 ***
ORIG_ID986 0.0917987 0.0761777 1.205 0.228180
ORIG_ID99 0.4800481 0.1065132 4.507 6.58e-06 ***
ORIG_ID990 -0.8798370 0.1089763 -8.074 6.82e-16 ***
ORIG_ID991 -0.3786281 0.0912016 -4.152 3.30e-05 ***
ORIG_ID992 0.6164995 0.0860509 7.164 7.82e-13 ***
ORIG_ID993 2.6009658 0.0734640 35.405 < 2e-16 ***
ORIG_ID994 0.1299505 0.0790228 1.644 0.100079
ORIG_ID995 1.6185563 0.0740092 21.870 < 2e-16 ***
DESTIN_ID1001 5.8501662 0.2909254 20.109 < 2e-16 ***
DESTIN_ID1002 1.2170247 0.3166293 3.844 0.000121 ***
DESTIN_ID1003 4.4667747 0.2908740 15.356 < 2e-16 ***
DESTIN_ID1004 7.0682976 0.2903873 24.341 < 2e-16 ***
DESTIN_ID1005 3.5750041 0.2913193 12.272 < 2e-16 ***
DESTIN_ID101 6.0015003 0.2900185 20.694 < 2e-16 ***
DESTIN_ID1010 3.7806127 0.2911355 12.986 < 2e-16 ***
DESTIN_ID1011 3.4905786 0.2915705 11.972 < 2e-16 ***
DESTIN_ID1012 3.5824701 0.2912385 12.301 < 2e-16 ***
DESTIN_ID1013 4.2001651 0.2907086 14.448 < 2e-16 ***
DESTIN_ID1014 3.7497453 0.2912419 12.875 < 2e-16 ***
DESTIN_ID102 -0.7257838 0.3505059 -2.071 0.038389 *
DESTIN_ID1023 4.8262524 0.2905310 16.612 < 2e-16 ***
DESTIN_ID1024 4.7719315 0.2905055 16.426 < 2e-16 ***
DESTIN_ID1025 4.9680174 0.2907480 17.087 < 2e-16 ***
DESTIN_ID1028 3.5198747 0.2914158 12.079 < 2e-16 ***
DESTIN_ID1030 2.7898739 0.2933744 9.510 < 2e-16 ***
DESTIN_ID1031 5.0161319 0.2904778 17.269 < 2e-16 ***
DESTIN_ID1033 4.4899385 0.2906204 15.449 < 2e-16 ***
DESTIN_ID1040 1.4404841 0.3125775 4.608 4.06e-06 ***
DESTIN_ID1041 3.5392632 0.2916580 12.135 < 2e-16 ***
DESTIN_ID1042 4.9366325 0.2904680 16.995 < 2e-16 ***
DESTIN_ID1043 4.0020631 0.2907817 13.763 < 2e-16 ***
DESTIN_ID1048 3.3975672 0.2911973 11.668 < 2e-16 ***
DESTIN_ID1049 4.6358849 0.2905484 15.956 < 2e-16 ***
DESTIN_ID1050 5.5680319 0.2904322 19.172 < 2e-16 ***
DESTIN_ID1061 5.4222756 0.2904982 18.665 < 2e-16 ***
DESTIN_ID1062 6.0259597 0.2904242 20.749 < 2e-16 ***
DESTIN_ID1063 3.0641775 0.2917313 10.503 < 2e-16 ***
DESTIN_ID1066 4.5679684 0.2906158 15.718 < 2e-16 ***
DESTIN_ID1067 5.2179949 0.2904644 17.964 < 2e-16 ***
DESTIN_ID1068 5.4000778 0.2904418 18.593 < 2e-16 ***
DESTIN_ID1069 4.3998966 0.2905897 15.141 < 2e-16 ***
DESTIN_ID1071 3.4464468 0.2912670 11.833 < 2e-16 ***
DESTIN_ID1078 3.6794996 0.2941918 12.507 < 2e-16 ***
DESTIN_ID1080 4.7765423 0.2905572 16.439 < 2e-16 ***
DESTIN_ID1081 4.3486446 0.2906505 14.962 < 2e-16 ***
DESTIN_ID1082 2.9038823 0.2924967 9.928 < 2e-16 ***
DESTIN_ID1086 4.4246037 0.2906518 15.223 < 2e-16 ***
DESTIN_ID1087 5.0235999 0.2904945 17.293 < 2e-16 ***
DESTIN_ID1089 4.6196497 0.2905951 15.897 < 2e-16 ***
DESTIN_ID1090 3.9589810 0.2908319 13.613 < 2e-16 ***
DESTIN_ID1097 1.3024575 0.3668561 3.550 0.000385 ***
DESTIN_ID1100 4.9185950 0.2905305 16.930 < 2e-16 ***
DESTIN_ID1101 0.3516404 0.3249791 1.082 0.279235
DESTIN_ID1102 2.6333917 0.2948262 8.932 < 2e-16 ***
DESTIN_ID1104 5.1641291 0.2904888 17.777 < 2e-16 ***
DESTIN_ID1105 5.0890999 0.2904661 17.520 < 2e-16 ***
DESTIN_ID1106 4.5142410 0.2909024 15.518 < 2e-16 ***
DESTIN_ID1107 4.1026829 0.2907879 14.109 < 2e-16 ***
DESTIN_ID1108 4.2548578 0.2906991 14.637 < 2e-16 ***
DESTIN_ID1115 2.4173309 0.2989852 8.085 6.21e-16 ***
DESTIN_ID1116 3.0835512 0.2982783 10.338 < 2e-16 ***
DESTIN_ID1119 2.4830495 0.2920935 8.501 < 2e-16 ***
DESTIN_ID1120 3.5630331 0.2913648 12.229 < 2e-16 ***
DESTIN_ID1123 3.7096207 0.2909118 12.752 < 2e-16 ***
DESTIN_ID1124 4.4295346 0.2906058 15.242 < 2e-16 ***
DESTIN_ID1125 5.0666026 0.2904756 17.442 < 2e-16 ***
DESTIN_ID1128 4.7275215 0.2905624 16.270 < 2e-16 ***
DESTIN_ID1138 3.7098627 0.2909120 12.753 < 2e-16 ***
DESTIN_ID1139 4.4182391 0.2907592 15.196 < 2e-16 ***
DESTIN_ID1140 3.6426136 0.2916040 12.492 < 2e-16 ***
DESTIN_ID1142 3.4219002 0.2910851 11.756 < 2e-16 ***
DESTIN_ID1143 5.3604143 0.2904314 18.457 < 2e-16 ***
DESTIN_ID1144 4.0132931 0.2908533 13.798 < 2e-16 ***
DESTIN_ID1145 4.0956895 0.2908607 14.081 < 2e-16 ***
DESTIN_ID1146 4.3919217 0.2907002 15.108 < 2e-16 ***
DESTIN_ID1147 3.8029512 0.2912936 13.055 < 2e-16 ***
DESTIN_ID1152 0.7161443 0.3326829 2.153 0.031348 *
DESTIN_ID1153 3.9811819 0.2910759 13.677 < 2e-16 ***
DESTIN_ID1157 5.4149194 0.2904659 18.642 < 2e-16 ***
DESTIN_ID1158 3.0629977 0.2914928 10.508 < 2e-16 ***
DESTIN_ID116 5.9172922 0.2911423 20.324 < 2e-16 ***
DESTIN_ID1161 6.7190323 0.2903924 23.138 < 2e-16 ***
DESTIN_ID1162 5.0984061 0.2904735 17.552 < 2e-16 ***
DESTIN_ID1163 5.5901829 0.2904303 19.248 < 2e-16 ***
DESTIN_ID1164 3.7354395 0.2911404 12.830 < 2e-16 ***
DESTIN_ID1167 2.4501465 0.2968989 8.252 < 2e-16 ***
DESTIN_ID117 -2.0674275 0.4301235 -4.807 1.54e-06 ***
DESTIN_ID1171 1.6977409 0.3025249 5.612 2.00e-08 ***
DESTIN_ID1172 5.1863076 0.2906347 17.845 < 2e-16 ***
DESTIN_ID1173 3.4689738 0.2916482 11.894 < 2e-16 ***
DESTIN_ID1176 4.2042855 0.2906758 14.464 < 2e-16 ***
DESTIN_ID1177 4.8367221 0.2905977 16.644 < 2e-16 ***
DESTIN_ID118 0.9370284 0.3137619 2.986 0.002823 **
DESTIN_ID1180 5.3680953 0.2904644 18.481 < 2e-16 ***
DESTIN_ID1181 5.0616151 0.2904487 17.427 < 2e-16 ***
DESTIN_ID1183 3.7389005 0.2921554 12.798 < 2e-16 ***
DESTIN_ID1184 4.8524470 0.2905290 16.702 < 2e-16 ***
DESTIN_ID1186 1.2840564 0.3249518 3.952 7.77e-05 ***
DESTIN_ID119 1.9067542 0.3061928 6.227 4.75e-10 ***
DESTIN_ID1192 2.2453021 0.2938222 7.642 2.14e-14 ***
DESTIN_ID1193 2.9284172 0.2914145 10.049 < 2e-16 ***
DESTIN_ID1194 2.4609797 0.2922856 8.420 < 2e-16 ***
DESTIN_ID1195 5.8973781 0.2904345 20.305 < 2e-16 ***
DESTIN_ID1196 3.5532215 0.2914460 12.192 < 2e-16 ***
DESTIN_ID1198 5.6913883 0.2910386 19.555 < 2e-16 ***
DESTIN_ID1199 3.2797672 0.2911990 11.263 < 2e-16 ***
DESTIN_ID120 2.0840180 0.3030439 6.877 6.11e-12 ***
DESTIN_ID1200 5.0142205 0.2904689 17.263 < 2e-16 ***
DESTIN_ID1201 4.9072154 0.2904812 16.893 < 2e-16 ***
DESTIN_ID1202 4.3421129 0.2905989 14.942 < 2e-16 ***
DESTIN_ID1203 4.3888102 0.2907597 15.094 < 2e-16 ***
DESTIN_ID1204 5.3303004 0.2906343 18.340 < 2e-16 ***
DESTIN_ID1205 0.3453731 0.3700682 0.933 0.350681
DESTIN_ID1207 3.6969050 0.2912406 12.694 < 2e-16 ***
DESTIN_ID1208 3.9599487 0.2910949 13.604 < 2e-16 ***
DESTIN_ID1209 3.7003948 0.2914091 12.698 < 2e-16 ***
DESTIN_ID121 0.9868337 0.3065557 3.219 0.001286 **
DESTIN_ID1210 1.8191421 0.3122120 5.827 5.66e-09 ***
DESTIN_ID1211 2.7682741 0.2932026 9.442 < 2e-16 ***
DESTIN_ID1212 0.4588603 0.3053676 1.503 0.132930
DESTIN_ID1213 5.7400101 0.2904311 19.764 < 2e-16 ***
DESTIN_ID1214 5.0333693 0.2905441 17.324 < 2e-16 ***
DESTIN_ID1215 0.8531310 0.3701081 2.305 0.021162 *
DESTIN_ID1218 4.4331458 0.2906989 15.250 < 2e-16 ***
DESTIN_ID1219 6.2020438 0.2904059 21.356 < 2e-16 ***
DESTIN_ID122 5.1237866 0.2904936 17.638 < 2e-16 ***
DESTIN_ID1220 4.9929748 0.2904789 17.189 < 2e-16 ***
DESTIN_ID1221 5.6610785 0.2904502 19.491 < 2e-16 ***
DESTIN_ID1222 3.5709008 0.2914325 12.253 < 2e-16 ***
DESTIN_ID1225 5.1738433 0.2904984 17.810 < 2e-16 ***
DESTIN_ID1226 3.0758405 0.2915599 10.550 < 2e-16 ***
DESTIN_ID1227 4.1371954 0.2908293 14.226 < 2e-16 ***
DESTIN_ID1229 2.5495427 0.2950015 8.642 < 2e-16 ***
DESTIN_ID1230 5.7164579 0.2904459 19.682 < 2e-16 ***
DESTIN_ID1231 4.3606380 0.2905548 15.008 < 2e-16 ***
DESTIN_ID1232 3.9397241 0.2906597 13.554 < 2e-16 ***
DESTIN_ID1233 5.2190643 0.2905269 17.964 < 2e-16 ***
DESTIN_ID1234 1.4889369 0.3158032 4.715 2.42e-06 ***
DESTIN_ID1238 4.0873354 0.2906550 14.062 < 2e-16 ***
DESTIN_ID1239 3.9938427 0.2906572 13.741 < 2e-16 ***
DESTIN_ID1240 6.2730792 0.2903909 21.602 < 2e-16 ***
DESTIN_ID1241 4.1937232 0.2907094 14.426 < 2e-16 ***
DESTIN_ID1242 2.9536641 0.2918606 10.120 < 2e-16 ***
DESTIN_ID1243 2.2720445 0.2939477 7.729 1.08e-14 ***
DESTIN_ID1244 3.6664372 0.2908991 12.604 < 2e-16 ***
DESTIN_ID1245 5.0277751 0.2905970 17.302 < 2e-16 ***
DESTIN_ID1246 3.4813803 0.2916606 11.936 < 2e-16 ***
DESTIN_ID1249 2.6632095 0.2939931 9.059 < 2e-16 ***
DESTIN_ID1250 5.8649006 0.2904192 20.195 < 2e-16 ***
DESTIN_ID1251 6.2383774 0.2904036 21.482 < 2e-16 ***
DESTIN_ID1252 5.2127833 0.2905089 17.944 < 2e-16 ***
DESTIN_ID1253 2.7362410 0.2923965 9.358 < 2e-16 ***
DESTIN_ID1256 4.6468548 0.2905410 15.994 < 2e-16 ***
DESTIN_ID1257 4.2289257 0.2905896 14.553 < 2e-16 ***
DESTIN_ID1258 4.6999006 0.2905186 16.178 < 2e-16 ***
DESTIN_ID1259 5.1276617 0.2904782 17.652 < 2e-16 ***
DESTIN_ID1260 3.9203881 0.2926294 13.397 < 2e-16 ***
DESTIN_ID1261 2.7573423 0.2919986 9.443 < 2e-16 ***
DESTIN_ID1262 4.9255438 0.2904990 16.955 < 2e-16 ***
DESTIN_ID1263 4.7867347 0.2905102 16.477 < 2e-16 ***
DESTIN_ID1264 5.1427701 0.2904855 17.704 < 2e-16 ***
DESTIN_ID1265 4.9108409 0.2905246 16.903 < 2e-16 ***
DESTIN_ID1266 3.8891284 0.2913123 13.350 < 2e-16 ***
DESTIN_ID1268 4.2544749 0.2907208 14.634 < 2e-16 ***
DESTIN_ID1269 5.4444348 0.2904237 18.747 < 2e-16 ***
DESTIN_ID1270 4.5846899 0.2905275 15.781 < 2e-16 ***
DESTIN_ID1272 5.4687172 0.2911045 18.786 < 2e-16 ***
DESTIN_ID1276 5.4361612 0.2904316 18.718 < 2e-16 ***
DESTIN_ID1277 4.3335771 0.2906091 14.912 < 2e-16 ***
DESTIN_ID1278 5.9756883 0.2904006 20.577 < 2e-16 ***
DESTIN_ID1279 4.9537022 0.2904894 17.053 < 2e-16 ***
DESTIN_ID1280 4.1896007 0.2906023 14.417 < 2e-16 ***
DESTIN_ID1281 4.1419693 0.2906538 14.251 < 2e-16 ***
DESTIN_ID1282 4.2154056 0.2906418 14.504 < 2e-16 ***
DESTIN_ID1283 4.1291324 0.2906087 14.209 < 2e-16 ***
DESTIN_ID1284 4.8177460 0.2905097 16.584 < 2e-16 ***
DESTIN_ID1285 4.3016081 0.2906914 14.798 < 2e-16 ***
DESTIN_ID1288 4.4172335 0.2905640 15.202 < 2e-16 ***
DESTIN_ID1289 4.8810010 0.2905039 16.802 < 2e-16 ***
DESTIN_ID1294 4.9406125 0.2905592 17.004 < 2e-16 ***
DESTIN_ID1295 6.5470249 0.2903880 22.546 < 2e-16 ***
DESTIN_ID1296 5.5747568 0.2904159 19.196 < 2e-16 ***
DESTIN_ID1297 3.3647524 0.2915257 11.542 < 2e-16 ***
DESTIN_ID1298 5.4558936 0.2904379 18.785 < 2e-16 ***
DESTIN_ID1299 4.8837311 0.2904683 16.813 < 2e-16 ***
DESTIN_ID1300 2.4541023 0.2923534 8.394 < 2e-16 ***
DESTIN_ID1301 5.0784863 0.2904670 17.484 < 2e-16 ***
DESTIN_ID1302 5.5066223 0.2904162 18.961 < 2e-16 ***
DESTIN_ID1303 5.6015529 0.2904342 19.287 < 2e-16 ***
DESTIN_ID1304 2.7647277 0.2927502 9.444 < 2e-16 ***
DESTIN_ID1306 3.7000150 0.2909888 12.715 < 2e-16 ***
DESTIN_ID1307 4.7594081 0.2905205 16.382 < 2e-16 ***
DESTIN_ID1308 3.9704840 0.2910080 13.644 < 2e-16 ***
DESTIN_ID1314 4.9346638 0.2904905 16.987 < 2e-16 ***
DESTIN_ID1315 5.1878952 0.2904475 17.862 < 2e-16 ***
DESTIN_ID1316 4.4220666 0.2906432 15.215 < 2e-16 ***
DESTIN_ID1317 3.9901500 0.2907492 13.724 < 2e-16 ***
DESTIN_ID1318 4.9191346 0.2904895 16.934 < 2e-16 ***
DESTIN_ID1319 5.5106309 0.2904457 18.973 < 2e-16 ***
DESTIN_ID1320 6.3401994 0.2903928 21.833 < 2e-16 ***
DESTIN_ID1321 4.3872881 0.2905274 15.101 < 2e-16 ***
DESTIN_ID1322 5.1287427 0.2904466 17.658 < 2e-16 ***
DESTIN_ID1323 3.4988248 0.2912898 12.011 < 2e-16 ***
DESTIN_ID1326 4.8774882 0.2905350 16.788 < 2e-16 ***
DESTIN_ID1327 4.2819800 0.2906953 14.730 < 2e-16 ***
DESTIN_ID1332 3.8579756 0.2910459 13.256 < 2e-16 ***
DESTIN_ID1333 4.5232895 0.2905519 15.568 < 2e-16 ***
DESTIN_ID1334 5.7501565 0.2904031 19.801 < 2e-16 ***
DESTIN_ID1335 5.7579593 0.2904093 19.827 < 2e-16 ***
DESTIN_ID1336 4.4875642 0.2905507 15.445 < 2e-16 ***
DESTIN_ID1337 6.5006292 0.2903820 22.386 < 2e-16 ***
DESTIN_ID1338 4.0904900 0.2905903 14.076 < 2e-16 ***
DESTIN_ID1339 4.0732963 0.2905830 14.018 < 2e-16 ***
DESTIN_ID1340 6.3723302 0.2903879 21.944 < 2e-16 ***
DESTIN_ID1341 3.1320385 0.2913450 10.750 < 2e-16 ***
DESTIN_ID1342 3.3768274 0.2917572 11.574 < 2e-16 ***
DESTIN_ID1345 3.7026102 0.2909220 12.727 < 2e-16 ***
DESTIN_ID1352 3.8782693 0.2908625 13.334 < 2e-16 ***
DESTIN_ID1353 5.0341421 0.2904617 17.332 < 2e-16 ***
DESTIN_ID1354 6.1659417 0.2903904 21.233 < 2e-16 ***
DESTIN_ID1355 5.1616269 0.2904588 17.771 < 2e-16 ***
DESTIN_ID1356 4.9023543 0.2904802 16.877 < 2e-16 ***
DESTIN_ID1357 5.1808755 0.2904327 17.838 < 2e-16 ***
DESTIN_ID1358 4.9645222 0.2905590 17.086 < 2e-16 ***
DESTIN_ID1359 5.0448305 0.2904481 17.369 < 2e-16 ***
DESTIN_ID136 4.1638067 0.2974839 13.997 < 2e-16 ***
DESTIN_ID1360 4.8499266 0.2904843 16.696 < 2e-16 ***
DESTIN_ID1364 1.6258309 0.3483773 4.667 3.06e-06 ***
DESTIN_ID137 0.8058904 0.3279109 2.458 0.013985 *
DESTIN_ID1370 -0.7531239 1.0432525 -0.722 0.470356
DESTIN_ID1371 4.2569593 0.2917953 14.589 < 2e-16 ***
DESTIN_ID1372 5.7843532 0.2904063 19.918 < 2e-16 ***
DESTIN_ID1373 5.5492163 0.2904485 19.106 < 2e-16 ***
DESTIN_ID1374 4.5874702 0.2905282 15.790 < 2e-16 ***
DESTIN_ID1375 5.0207105 0.2905211 17.282 < 2e-16 ***
DESTIN_ID1376 4.4793211 0.2905298 15.418 < 2e-16 ***
DESTIN_ID1377 2.4948504 0.2918308 8.549 < 2e-16 ***
DESTIN_ID1378 5.3889202 0.2904359 18.555 < 2e-16 ***
DESTIN_ID1379 4.0247438 0.2911471 13.824 < 2e-16 ***
DESTIN_ID138 2.8626290 0.3193364 8.964 < 2e-16 ***
DESTIN_ID1380 4.2254285 0.2909415 14.523 < 2e-16 ***
DESTIN_ID1383 2.8976956 0.2925571 9.905 < 2e-16 ***
DESTIN_ID1389 4.6775788 0.2963652 15.783 < 2e-16 ***
DESTIN_ID139 3.1214232 0.3024186 10.322 < 2e-16 ***
DESTIN_ID1390 4.3244680 0.2911993 14.851 < 2e-16 ***
DESTIN_ID1391 5.1132948 0.2904815 17.603 < 2e-16 ***
DESTIN_ID1392 5.4476141 0.2904249 18.757 < 2e-16 ***
DESTIN_ID1393 4.9621275 0.2904523 17.084 < 2e-16 ***
DESTIN_ID1394 4.8659629 0.2904637 16.752 < 2e-16 ***
DESTIN_ID1395 5.5189739 0.2905633 18.994 < 2e-16 ***
DESTIN_ID1396 3.3956955 0.2914214 11.652 < 2e-16 ***
DESTIN_ID1397 3.7082808 0.2931740 12.649 < 2e-16 ***
DESTIN_ID1398 4.3020733 0.2907921 14.794 < 2e-16 ***
DESTIN_ID140 1.9667823 0.3070710 6.405 1.50e-10 ***
DESTIN_ID1401 1.8820099 0.3009597 6.253 4.02e-10 ***
DESTIN_ID1408 4.5604121 0.2944867 15.486 < 2e-16 ***
DESTIN_ID1409 5.1400139 0.2906589 17.684 < 2e-16 ***
DESTIN_ID141 3.4019746 0.2918200 11.658 < 2e-16 ***
DESTIN_ID1410 4.5905875 0.2914615 15.750 < 2e-16 ***
DESTIN_ID1411 5.4239009 0.2904265 18.676 < 2e-16 ***
DESTIN_ID1412 5.5903705 0.2904180 19.249 < 2e-16 ***
DESTIN_ID1413 4.8513878 0.2905394 16.698 < 2e-16 ***
DESTIN_ID1414 2.1966625 0.2928348 7.501 6.32e-14 ***
DESTIN_ID1415 4.0410074 0.2906391 13.904 < 2e-16 ***
DESTIN_ID1416 2.8481703 0.2914475 9.772 < 2e-16 ***
DESTIN_ID1417 3.0625161 0.2914084 10.509 < 2e-16 ***
DESTIN_ID1418 2.8310190 0.2922397 9.687 < 2e-16 ***
DESTIN_ID1419 0.4986276 0.3297322 1.512 0.130478
DESTIN_ID142 2.4987204 0.3086094 8.097 5.65e-16 ***
DESTIN_ID1420 1.4833385 0.3053791 4.857 1.19e-06 ***
DESTIN_ID1428 4.7937973 0.2998767 15.986 < 2e-16 ***
DESTIN_ID1430 3.7731652 0.2910942 12.962 < 2e-16 ***
DESTIN_ID1431 2.8155129 0.2913483 9.664 < 2e-16 ***
DESTIN_ID1432 5.0737897 0.2904441 17.469 < 2e-16 ***
DESTIN_ID1433 3.9702751 0.2916960 13.611 < 2e-16 ***
DESTIN_ID1434 3.8497360 0.2908537 13.236 < 2e-16 ***
DESTIN_ID1435 4.9697377 0.2905299 17.106 < 2e-16 ***
DESTIN_ID1436 2.7867426 0.2915775 9.557 < 2e-16 ***
DESTIN_ID1439 2.8959991 0.2925865 9.898 < 2e-16 ***
DESTIN_ID1440 2.2591654 0.3007627 7.511 5.85e-14 ***
DESTIN_ID1448 5.1287448 0.2909572 17.627 < 2e-16 ***
DESTIN_ID1449 4.4678002 0.2905224 15.379 < 2e-16 ***
DESTIN_ID1450 4.8198667 0.2905132 16.591 < 2e-16 ***
DESTIN_ID1451 5.5530398 0.2904374 19.120 < 2e-16 ***
DESTIN_ID1452 3.9040531 0.2906707 13.431 < 2e-16 ***
DESTIN_ID1453 4.9566680 0.2904623 17.065 < 2e-16 ***
DESTIN_ID1454 4.8069936 0.2907314 16.534 < 2e-16 ***
DESTIN_ID1455 3.0154517 0.2911946 10.355 < 2e-16 ***
DESTIN_ID1456 5.1134721 0.2905033 17.602 < 2e-16 ***
DESTIN_ID1457 5.0508692 0.2905573 17.383 < 2e-16 ***
DESTIN_ID1458 2.3601665 0.3004137 7.856 3.95e-15 ***
DESTIN_ID1468 4.9986338 0.2909416 17.181 < 2e-16 ***
DESTIN_ID1469 5.4253252 0.2904222 18.681 < 2e-16 ***
DESTIN_ID1470 4.0332611 0.2906956 13.875 < 2e-16 ***
DESTIN_ID1471 5.2165374 0.2904647 17.959 < 2e-16 ***
DESTIN_ID1472 6.7071783 0.2903835 23.098 < 2e-16 ***
DESTIN_ID1473 3.8094985 0.2906737 13.106 < 2e-16 ***
DESTIN_ID1474 5.6000747 0.2904363 19.282 < 2e-16 ***
DESTIN_ID1475 3.8265876 0.2908305 13.157 < 2e-16 ***
DESTIN_ID1476 4.0486315 0.2907745 13.924 < 2e-16 ***
DESTIN_ID1477 1.1418093 0.3060588 3.731 0.000191 ***
DESTIN_ID1486 2.8792208 0.2933490 9.815 < 2e-16 ***
DESTIN_ID1487 5.0043853 0.2904712 17.229 < 2e-16 ***
DESTIN_ID1488 3.9450783 0.2908963 13.562 < 2e-16 ***
DESTIN_ID1489 4.4807752 0.2905559 15.421 < 2e-16 ***
DESTIN_ID1490 4.2108173 0.2907899 14.481 < 2e-16 ***
DESTIN_ID1491 4.6616012 0.2904821 16.048 < 2e-16 ***
DESTIN_ID1492 4.6071104 0.2904996 15.859 < 2e-16 ***
DESTIN_ID1493 4.8798111 0.2904750 16.799 < 2e-16 ***
DESTIN_ID1494 5.1471860 0.2905166 17.717 < 2e-16 ***
DESTIN_ID1506 1.5531083 0.3080356 5.042 4.61e-07 ***
DESTIN_ID1507 5.3734643 0.2904279 18.502 < 2e-16 ***
DESTIN_ID1508 4.2783582 0.2905617 14.724 < 2e-16 ***
DESTIN_ID1509 3.2368637 0.2933241 11.035 < 2e-16 ***
DESTIN_ID1510 4.8235986 0.2904848 16.605 < 2e-16 ***
DESTIN_ID1512 5.3214789 0.2904317 18.323 < 2e-16 ***
DESTIN_ID1513 5.4797065 0.2905975 18.857 < 2e-16 ***
DESTIN_ID1514 4.5949703 0.2906803 15.808 < 2e-16 ***
DESTIN_ID1524 3.9375460 0.2912149 13.521 < 2e-16 ***
DESTIN_ID1525 4.8465906 0.2904994 16.684 < 2e-16 ***
DESTIN_ID1526 4.6154185 0.2905131 15.887 < 2e-16 ***
DESTIN_ID1527 4.4645191 0.2907085 15.357 < 2e-16 ***
DESTIN_ID1528 3.6785703 0.2907730 12.651 < 2e-16 ***
DESTIN_ID1529 3.4768486 0.2908632 11.954 < 2e-16 ***
DESTIN_ID1530 3.7389468 0.2907640 12.859 < 2e-16 ***
DESTIN_ID1531 4.8451219 0.2904777 16.680 < 2e-16 ***
DESTIN_ID1532 3.9935088 0.2908524 13.730 < 2e-16 ***
DESTIN_ID1544 4.6527036 0.2905955 16.011 < 2e-16 ***
DESTIN_ID1545 4.4915343 0.2905115 15.461 < 2e-16 ***
DESTIN_ID1546 4.8728825 0.2904764 16.775 < 2e-16 ***
DESTIN_ID1547 4.4575137 0.2905616 15.341 < 2e-16 ***
DESTIN_ID1548 5.0035358 0.2904849 17.225 < 2e-16 ***
DESTIN_ID1549 5.9659656 0.2904112 20.543 < 2e-16 ***
DESTIN_ID1550 5.3702374 0.2904240 18.491 < 2e-16 ***
DESTIN_ID1551 3.2682838 0.2910570 11.229 < 2e-16 ***
DESTIN_ID1552 5.1154928 0.2905139 17.608 < 2e-16 ***
DESTIN_ID156 3.3708506 0.3269422 10.310 < 2e-16 ***
DESTIN_ID1562 0.9422309 0.3256933 2.893 0.003816 **
DESTIN_ID1563 4.9512242 0.2904958 17.044 < 2e-16 ***
DESTIN_ID1564 5.3121135 0.2904350 18.290 < 2e-16 ***
DESTIN_ID1565 4.5058316 0.2905244 15.509 < 2e-16 ***
DESTIN_ID1566 2.4689590 0.2928050 8.432 < 2e-16 ***
DESTIN_ID1567 4.7561095 0.2905034 16.372 < 2e-16 ***
DESTIN_ID1568 5.0631761 0.2904381 17.433 < 2e-16 ***
DESTIN_ID1569 4.5253475 0.2905052 15.578 < 2e-16 ***
DESTIN_ID1570 5.1451587 0.2904567 17.714 < 2e-16 ***
DESTIN_ID1571 5.5865395 0.2907866 19.212 < 2e-16 ***
DESTIN_ID158 2.2311338 0.3186669 7.001 2.53e-12 ***
DESTIN_ID1582 4.0400609 0.2907176 13.897 < 2e-16 ***
DESTIN_ID1583 5.8278565 0.2904019 20.068 < 2e-16 ***
DESTIN_ID1584 4.3428949 0.2905445 14.947 < 2e-16 ***
DESTIN_ID1585 3.2607992 0.2910845 11.202 < 2e-16 ***
DESTIN_ID1587 5.1581872 0.2904514 17.759 < 2e-16 ***
DESTIN_ID1588 6.2803172 0.2903904 21.627 < 2e-16 ***
DESTIN_ID1589 5.3136596 0.2904305 18.296 < 2e-16 ***
DESTIN_ID159 5.1740419 0.2905978 17.805 < 2e-16 ***
DESTIN_ID1590 4.6221223 0.2905127 15.910 < 2e-16 ***
DESTIN_ID1591 1.9333067 0.2967125 6.516 7.23e-11 ***
DESTIN_ID160 1.8953718 0.3000244 6.317 2.66e-10 ***
DESTIN_ID1600 1.8375752 0.3035482 6.054 1.42e-09 ***
DESTIN_ID1601 4.4635396 0.2905415 15.363 < 2e-16 ***
DESTIN_ID1602 4.6671895 0.2905053 16.066 < 2e-16 ***
DESTIN_ID1603 4.0971067 0.2907258 14.093 < 2e-16 ***
DESTIN_ID1604 5.4715299 0.2907866 18.816 < 2e-16 ***
DESTIN_ID1606 4.5848750 0.2905139 15.782 < 2e-16 ***
DESTIN_ID1607 4.2682606 0.2905570 14.690 < 2e-16 ***
DESTIN_ID1608 6.2398388 0.2903959 21.487 < 2e-16 ***
DESTIN_ID1609 4.8124013 0.2905195 16.565 < 2e-16 ***
DESTIN_ID1610 4.1391953 0.2917712 14.186 < 2e-16 ***
DESTIN_ID1620 5.6752824 0.2904368 19.541 < 2e-16 ***
DESTIN_ID1621 5.1935932 0.2904638 17.880 < 2e-16 ***
DESTIN_ID1622 4.6176885 0.2906613 15.887 < 2e-16 ***
DESTIN_ID1623 3.8011853 0.2907876 13.072 < 2e-16 ***
DESTIN_ID1624 1.0881262 0.3151615 3.453 0.000555 ***
DESTIN_ID1625 2.0501907 0.2954397 6.939 3.94e-12 ***
DESTIN_ID1626 4.9436225 0.2904865 17.018 < 2e-16 ***
DESTIN_ID1627 4.9965341 0.2904583 17.202 < 2e-16 ***
DESTIN_ID1628 4.9572629 0.2904661 17.067 < 2e-16 ***
DESTIN_ID1629 4.1302734 0.2907299 14.207 < 2e-16 ***
DESTIN_ID1630 4.0627175 0.2931962 13.857 < 2e-16 ***
DESTIN_ID1639 4.6496519 0.2905322 16.004 < 2e-16 ***
DESTIN_ID1640 5.7419158 0.2904072 19.772 < 2e-16 ***
DESTIN_ID1641 5.0270791 0.2904602 17.307 < 2e-16 ***
DESTIN_ID1645 4.7108646 0.2905599 16.213 < 2e-16 ***
DESTIN_ID1646 4.7069742 0.2904852 16.204 < 2e-16 ***
DESTIN_ID1647 6.2632038 0.2904009 21.567 < 2e-16 ***
DESTIN_ID1648 2.7965019 0.2927620 9.552 < 2e-16 ***
DESTIN_ID1658 6.1930753 0.2904092 21.325 < 2e-16 ***
DESTIN_ID1659 4.3651024 0.2905574 15.023 < 2e-16 ***
DESTIN_ID1660 4.4023834 0.2905349 15.153 < 2e-16 ***
DESTIN_ID1661 3.5596804 0.2909670 12.234 < 2e-16 ***
DESTIN_ID1663 1.5661358 0.3083358 5.079 3.79e-07 ***
DESTIN_ID1665 4.2654383 0.2906602 14.675 < 2e-16 ***
DESTIN_ID1666 5.9534372 0.2904103 20.500 < 2e-16 ***
DESTIN_ID1667 3.5758287 0.2914554 12.269 < 2e-16 ***
DESTIN_ID1668 5.7466723 0.2910093 19.747 < 2e-16 ***
DESTIN_ID1677 4.7024963 0.2905020 16.187 < 2e-16 ***
DESTIN_ID1678 4.9899924 0.2904717 17.179 < 2e-16 ***
DESTIN_ID1679 5.2167163 0.2904678 17.960 < 2e-16 ***
DESTIN_ID1682 2.2355043 0.3003325 7.443 9.81e-14 ***
DESTIN_ID1684 5.0565356 0.2910187 17.375 < 2e-16 ***
DESTIN_ID1685 4.6798683 0.2905351 16.108 < 2e-16 ***
DESTIN_ID1696 5.0776300 0.2905262 17.477 < 2e-16 ***
DESTIN_ID1697 3.0868048 0.2915858 10.586 < 2e-16 ***
DESTIN_ID1698 4.9756317 0.2912274 17.085 < 2e-16 ***
DESTIN_ID1699 4.8857500 0.2905074 16.818 < 2e-16 ***
DESTIN_ID1702 1.4254838 0.3217913 4.430 9.43e-06 ***
DESTIN_ID1704 4.9618403 0.2905081 17.080 < 2e-16 ***
DESTIN_ID1705 4.5790916 0.2911390 15.728 < 2e-16 ***
DESTIN_ID1715 4.6481606 0.2905426 15.998 < 2e-16 ***
DESTIN_ID1716 3.9950901 0.2906678 13.745 < 2e-16 ***
DESTIN_ID1717 3.6584124 0.2909281 12.575 < 2e-16 ***
DESTIN_ID1718 1.0956402 0.3102060 3.532 0.000412 ***
DESTIN_ID1721 1.6723561 0.3169322 5.277 1.32e-07 ***
DESTIN_ID1723 4.2202869 0.2909556 14.505 < 2e-16 ***
DESTIN_ID1734 2.7501674 0.2979855 9.229 < 2e-16 ***
DESTIN_ID1735 4.1003467 0.2906707 14.107 < 2e-16 ***
DESTIN_ID1736 5.0487800 0.2905343 17.378 < 2e-16 ***
DESTIN_ID1737 5.2853982 0.2904655 18.196 < 2e-16 ***
DESTIN_ID1740 2.5265236 0.2986987 8.458 < 2e-16 ***
DESTIN_ID1742 4.3123015 0.2909743 14.820 < 2e-16 ***
DESTIN_ID1753 4.5760667 0.2905947 15.747 < 2e-16 ***
DESTIN_ID1754 4.9881397 0.2904684 17.173 < 2e-16 ***
DESTIN_ID1755 5.1209376 0.2904921 17.628 < 2e-16 ***
DESTIN_ID1758 2.2332433 0.2997627 7.450 9.33e-14 ***
DESTIN_ID177 1.0482111 0.4204562 2.493 0.012666 *
DESTIN_ID1772 1.5355997 0.3212522 4.780 1.75e-06 ***
DESTIN_ID1773 4.2804146 0.2906947 14.725 < 2e-16 ***
DESTIN_ID1774 6.8090763 0.2903829 23.449 < 2e-16 ***
DESTIN_ID1775 4.2728091 0.2906712 14.700 < 2e-16 ***
DESTIN_ID1776 4.9213498 0.2905152 16.940 < 2e-16 ***
DESTIN_ID1778 2.2589506 0.3055154 7.394 1.43e-13 ***
DESTIN_ID178 2.1839952 0.3003228 7.272 3.54e-13 ***
DESTIN_ID179 0.6308392 0.3431416 1.838 0.066000 .
DESTIN_ID1791 4.4222325 0.2907006 15.212 < 2e-16 ***
DESTIN_ID1792 2.6712511 0.2914050 9.167 < 2e-16 ***
DESTIN_ID1793 4.7315586 0.2905173 16.287 < 2e-16 ***
DESTIN_ID1794 3.5263968 0.2913131 12.105 < 2e-16 ***
DESTIN_ID1795 4.9566584 0.2905106 17.062 < 2e-16 ***
DESTIN_ID1796 3.8430071 0.2908872 13.211 < 2e-16 ***
DESTIN_ID1797 4.3466687 0.2907000 14.952 < 2e-16 ***
DESTIN_ID1811 4.6286348 0.2905580 15.930 < 2e-16 ***
DESTIN_ID1812 5.0634974 0.2904456 17.434 < 2e-16 ***
DESTIN_ID1813 5.2004679 0.2904597 17.904 < 2e-16 ***
DESTIN_ID1814 5.5006366 0.2904522 18.938 < 2e-16 ***
DESTIN_ID1815 4.9180064 0.2905200 16.928 < 2e-16 ***
DESTIN_ID1816 5.3266752 0.2904929 18.337 < 2e-16 ***
DESTIN_ID1817 2.8001364 0.2930845 9.554 < 2e-16 ***
DESTIN_ID1830 4.9921243 0.2905767 17.180 < 2e-16 ***
DESTIN_ID1831 5.4084777 0.2904430 18.621 < 2e-16 ***
DESTIN_ID1832 4.9712620 0.2904670 17.115 < 2e-16 ***
DESTIN_ID1833 4.6805042 0.2904949 16.112 < 2e-16 ***
DESTIN_ID1834 3.7702597 0.2909401 12.959 < 2e-16 ***
DESTIN_ID1835 5.3813791 0.2904738 18.526 < 2e-16 ***
DESTIN_ID1849 4.3762730 0.2906952 15.055 < 2e-16 ***
DESTIN_ID1850 4.9922686 0.2904783 17.186 < 2e-16 ***
DESTIN_ID1851 2.4026142 0.2942506 8.165 3.21e-16 ***
DESTIN_ID1852 5.6862707 0.2904103 19.580 < 2e-16 ***
DESTIN_ID1853 4.4775119 0.2905469 15.411 < 2e-16 ***
DESTIN_ID1854 4.7317948 0.2905306 16.287 < 2e-16 ***
DESTIN_ID1855 2.7520192 0.2928233 9.398 < 2e-16 ***
DESTIN_ID1868 4.9182445 0.2905298 16.929 < 2e-16 ***
DESTIN_ID1869 4.1554435 0.2906586 14.297 < 2e-16 ***
DESTIN_ID1870 2.3874126 0.2939381 8.122 4.58e-16 ***
DESTIN_ID1871 6.9927894 0.2903824 24.081 < 2e-16 ***
DESTIN_ID1872 4.6380706 0.2906568 15.957 < 2e-16 ***
DESTIN_ID1873 4.8496510 0.2905535 16.691 < 2e-16 ***
DESTIN_ID1887 4.2282606 0.2907547 14.542 < 2e-16 ***
DESTIN_ID1888 5.7246596 0.2904363 19.711 < 2e-16 ***
DESTIN_ID1889 4.5417339 0.2905691 15.630 < 2e-16 ***
DESTIN_ID1890 4.7740865 0.2904763 16.435 < 2e-16 ***
DESTIN_ID1891 4.0730169 0.2906988 14.011 < 2e-16 ***
DESTIN_ID1892 6.5514298 0.2903960 22.560 < 2e-16 ***
DESTIN_ID1893 3.3850083 0.2936677 11.527 < 2e-16 ***
DESTIN_ID1905 3.8509890 0.3009549 12.796 < 2e-16 ***
DESTIN_ID1906 2.7656340 0.2919035 9.474 < 2e-16 ***
DESTIN_ID1907 3.9657118 0.2907357 13.640 < 2e-16 ***
DESTIN_ID1908 5.4211429 0.2904662 18.664 < 2e-16 ***
DESTIN_ID1909 4.6112109 0.2904967 15.874 < 2e-16 ***
DESTIN_ID1910 3.8365627 0.2908179 13.192 < 2e-16 ***
DESTIN_ID1911 1.8275826 0.2986765 6.119 9.42e-10 ***
DESTIN_ID1926 4.0756269 0.2910323 14.004 < 2e-16 ***
DESTIN_ID1927 3.8438343 0.2913152 13.195 < 2e-16 ***
DESTIN_ID1928 5.3140385 0.2904424 18.296 < 2e-16 ***
DESTIN_ID1929 5.2903087 0.2905027 18.211 < 2e-16 ***
DESTIN_ID1930 5.0362333 0.2904897 17.337 < 2e-16 ***
DESTIN_ID1944 4.5534964 0.2909811 15.649 < 2e-16 ***
DESTIN_ID1945 2.5935303 0.2928600 8.856 < 2e-16 ***
DESTIN_ID1946 5.1849460 0.2905016 17.848 < 2e-16 ***
DESTIN_ID1947 5.7751292 0.2904173 19.886 < 2e-16 ***
DESTIN_ID1948 5.4560154 0.2904559 18.784 < 2e-16 ***
DESTIN_ID1949 4.7639099 0.2906214 16.392 < 2e-16 ***
DESTIN_ID195 2.4957834 0.3351421 7.447 9.55e-14 ***
DESTIN_ID196 4.8780922 0.2911896 16.752 < 2e-16 ***
DESTIN_ID1965 4.8228831 0.2905665 16.598 < 2e-16 ***
DESTIN_ID1966 3.9930785 0.2908058 13.731 < 2e-16 ***
DESTIN_ID1967 4.3453050 0.2905696 14.954 < 2e-16 ***
DESTIN_ID1968 4.7976110 0.2905674 16.511 < 2e-16 ***
DESTIN_ID197 3.3460638 0.2952403 11.333 < 2e-16 ***
DESTIN_ID1983 4.3782758 0.2910108 15.045 < 2e-16 ***
DESTIN_ID1984 3.6433692 0.2913444 12.505 < 2e-16 ***
DESTIN_ID1985 4.2104700 0.2907113 14.483 < 2e-16 ***
DESTIN_ID1986 4.9679544 0.2905059 17.101 < 2e-16 ***
DESTIN_ID1987 3.5241720 0.2940552 11.985 < 2e-16 ***
DESTIN_ID2002 3.0521797 0.2969312 10.279 < 2e-16 ***
DESTIN_ID2003 2.0814940 0.2970167 7.008 2.42e-12 ***
DESTIN_ID2004 2.8751754 0.2946825 9.757 < 2e-16 ***
DESTIN_ID2005 4.5837435 0.2906786 15.769 < 2e-16 ***
DESTIN_ID2006 3.3596129 0.2913844 11.530 < 2e-16 ***
DESTIN_ID2021 3.4281448 0.2952170 11.612 < 2e-16 ***
DESTIN_ID2022 4.7924738 0.2917617 16.426 < 2e-16 ***
DESTIN_ID2023 3.8254301 0.2916123 13.118 < 2e-16 ***
DESTIN_ID2024 2.6988888 0.2927472 9.219 < 2e-16 ***
DESTIN_ID2025 1.0051620 0.3386827 2.968 0.002999 **
DESTIN_ID2042 1.6988922 0.3112194 5.459 4.79e-08 ***
DESTIN_ID2043 3.1572194 0.2930880 10.772 < 2e-16 ***
DESTIN_ID2044 2.8072146 0.2928619 9.585 < 2e-16 ***
DESTIN_ID2045 2.9728438 0.2992977 9.933 < 2e-16 ***
DESTIN_ID2061 2.7889518 0.2997555 9.304 < 2e-16 ***
DESTIN_ID2062 3.1473275 0.2940225 10.704 < 2e-16 ***
DESTIN_ID2063 2.9203685 0.2926306 9.980 < 2e-16 ***
DESTIN_ID2064 2.0919480 0.2994107 6.987 2.81e-12 ***
DESTIN_ID2079 4.0794232 0.2918005 13.980 < 2e-16 ***
DESTIN_ID2082 2.6437989 0.2976028 8.884 < 2e-16 ***
DESTIN_ID2083 2.8858900 0.2923235 9.872 < 2e-16 ***
DESTIN_ID2098 5.1409510 0.2907494 17.682 < 2e-16 ***
DESTIN_ID2099 6.3609500 0.2904782 21.898 < 2e-16 ***
DESTIN_ID2102 5.8598694 0.2905846 20.166 < 2e-16 ***
DESTIN_ID2115 6.6456183 0.2911434 22.826 < 2e-16 ***
DESTIN_ID2119 6.8891882 0.2904482 23.719 < 2e-16 ***
DESTIN_ID2121 4.4577563 0.2908371 15.327 < 2e-16 ***
DESTIN_ID2137 4.5601779 0.2909673 15.672 < 2e-16 ***
DESTIN_ID2140 3.4734038 0.2918385 11.902 < 2e-16 ***
DESTIN_ID215 1.0338447 0.3670332 2.817 0.004851 **
DESTIN_ID2153 1.7127411 0.2967686 5.771 7.87e-09 ***
DESTIN_ID2158 4.2469073 0.2915101 14.569 < 2e-16 ***
DESTIN_ID216 1.9373534 0.3142463 6.165 7.04e-10 ***
DESTIN_ID217 4.1645778 0.2967778 14.033 < 2e-16 ***
DESTIN_ID2177 3.8667660 0.2915755 13.262 < 2e-16 ***
DESTIN_ID2178 1.7877031 0.3027677 5.905 3.54e-09 ***
DESTIN_ID2196 3.4018043 0.2976117 11.430 < 2e-16 ***
DESTIN_ID2197 3.6662785 0.2924011 12.539 < 2e-16 ***
DESTIN_ID2267 1.9807468 0.3220664 6.150 7.74e-10 ***
DESTIN_ID233 1.4395983 0.2986926 4.820 1.44e-06 ***
DESTIN_ID234 1.6126552 0.3088705 5.221 1.78e-07 ***
DESTIN_ID235 2.1912261 0.3070804 7.136 9.63e-13 ***
DESTIN_ID252 2.1473249 0.2971975 7.225 5.00e-13 ***
DESTIN_ID253 2.3095531 0.3005721 7.684 1.54e-14 ***
DESTIN_ID254 3.1236335 0.2968592 10.522 < 2e-16 ***
DESTIN_ID271 1.9455694 0.3155561 6.166 7.02e-10 ***
DESTIN_ID272 4.1784068 0.2922487 14.297 < 2e-16 ***
DESTIN_ID290 2.3460199 0.3080200 7.616 2.61e-14 ***
DESTIN_ID291 1.6770234 0.3271511 5.126 2.96e-07 ***
DESTIN_ID292 2.9702236 0.2986722 9.945 < 2e-16 ***
DESTIN_ID308 4.2063634 0.2951074 14.254 < 2e-16 ***
DESTIN_ID309 1.0799848 0.3034979 3.558 0.000373 ***
DESTIN_ID310 3.0183120 0.2965530 10.178 < 2e-16 ***
DESTIN_ID329 3.2073250 0.2999267 10.694 < 2e-16 ***
DESTIN_ID330 2.1279660 0.2989621 7.118 1.10e-12 ***
DESTIN_ID347 1.8131256 0.2961509 6.122 9.22e-10 ***
DESTIN_ID348 2.3237699 0.2969996 7.824 5.11e-15 ***
DESTIN_ID349 0.4599174 0.3464802 1.327 0.184377
DESTIN_ID366 3.5839505 0.3024747 11.849 < 2e-16 ***
DESTIN_ID367 1.7411244 0.3073263 5.665 1.47e-08 ***
DESTIN_ID368 5.6715772 0.2903626 19.533 < 2e-16 ***
DESTIN_ID369 4.1539473 0.2916196 14.244 < 2e-16 ***
DESTIN_ID370 5.3089095 0.2906900 18.263 < 2e-16 ***
DESTIN_ID385 1.8925461 0.3280879 5.768 8.00e-09 ***
DESTIN_ID386 1.2697248 0.3069494 4.137 3.53e-05 ***
DESTIN_ID387 2.7310504 0.2922627 9.345 < 2e-16 ***
DESTIN_ID388 3.1116541 0.2922318 10.648 < 2e-16 ***
DESTIN_ID389 3.8540450 0.2924349 13.179 < 2e-16 ***
DESTIN_ID40 2.3418506 0.3516793 6.659 2.76e-11 ***
DESTIN_ID404 2.4929644 0.3150391 7.913 2.51e-15 ***
DESTIN_ID405 0.8215259 0.3197313 2.569 0.010187 *
DESTIN_ID406 0.7964942 0.3103875 2.566 0.010284 *
DESTIN_ID407 4.3606360 0.2907354 14.999 < 2e-16 ***
DESTIN_ID408 3.7018916 0.2911816 12.713 < 2e-16 ***
DESTIN_ID42 2.0749850 0.2997765 6.922 4.46e-12 ***
DESTIN_ID424 2.5817740 0.2978729 8.667 < 2e-16 ***
DESTIN_ID425 2.3115470 0.2931306 7.886 3.13e-15 ***
DESTIN_ID426 5.2195904 0.2904752 17.969 < 2e-16 ***
DESTIN_ID427 4.3121336 0.2914457 14.796 < 2e-16 ***
DESTIN_ID442 2.1231812 0.3129310 6.785 1.16e-11 ***
DESTIN_ID443 -0.1263903 0.4186517 -0.302 0.762730
DESTIN_ID444 3.4789957 0.2919666 11.916 < 2e-16 ***
DESTIN_ID445 3.6356211 0.2908556 12.500 < 2e-16 ***
DESTIN_ID447 -0.1714977 0.4015637 -0.427 0.669325
DESTIN_ID448 3.6669886 0.2934217 12.497 < 2e-16 ***
DESTIN_ID461 2.6487481 0.3015369 8.784 < 2e-16 ***
DESTIN_ID462 2.3710730 0.2991538 7.926 2.26e-15 ***
DESTIN_ID463 3.1513562 0.2911751 10.823 < 2e-16 ***
DESTIN_ID464 5.2660601 0.2904271 18.132 < 2e-16 ***
DESTIN_ID465 2.0531241 0.2958236 6.940 3.91e-12 ***
DESTIN_ID466 1.9591770 0.3038624 6.448 1.14e-10 ***
DESTIN_ID467 1.8742574 0.3170606 5.911 3.39e-09 ***
DESTIN_ID480 2.1324138 0.3167412 6.732 1.67e-11 ***
DESTIN_ID481 3.2438184 0.2942498 11.024 < 2e-16 ***
DESTIN_ID482 2.2637423 0.2939137 7.702 1.34e-14 ***
DESTIN_ID483 5.6396010 0.2903880 19.421 < 2e-16 ***
DESTIN_ID484 5.4018458 0.2904377 18.599 < 2e-16 ***
DESTIN_ID486 3.1691854 0.2935269 10.797 < 2e-16 ***
DESTIN_ID487 1.3696374 0.3360309 4.076 4.58e-05 ***
DESTIN_ID488 0.9139713 0.4015736 2.276 0.022848 *
DESTIN_ID489 0.5187210 0.5332383 0.973 0.330665
DESTIN_ID499 1.1295708 0.3350714 3.371 0.000749 ***
DESTIN_ID500 1.4019871 0.3201393 4.379 1.19e-05 ***
DESTIN_ID501 1.9791523 0.2926027 6.764 1.34e-11 ***
DESTIN_ID502 4.7031316 0.2904513 16.192 < 2e-16 ***
DESTIN_ID503 3.9859853 0.2910997 13.693 < 2e-16 ***
DESTIN_ID507 2.9457711 0.3044131 9.677 < 2e-16 ***
DESTIN_ID508 0.9311746 0.4094600 2.274 0.022957 *
DESTIN_ID509 1.1528500 0.4186073 2.754 0.005887 **
DESTIN_ID518 0.6491990 0.4420619 1.469 0.141949
DESTIN_ID519 3.0350486 0.2966046 10.233 < 2e-16 ***
DESTIN_ID520 2.1850238 0.2974456 7.346 2.04e-13 ***
DESTIN_ID521 7.1508243 0.2903560 24.628 < 2e-16 ***
DESTIN_ID522 4.5385623 0.2905150 15.622 < 2e-16 ***
DESTIN_ID524 0.3451999 0.3464693 0.996 0.319087
DESTIN_ID528 1.8737430 0.3282338 5.709 1.14e-08 ***
DESTIN_ID529 2.7988557 0.3084586 9.074 < 2e-16 ***
DESTIN_ID530 3.1998555 0.3064472 10.442 < 2e-16 ***
DESTIN_ID537 1.0005828 0.3414600 2.930 0.003386 **
DESTIN_ID538 2.2740714 0.2988321 7.610 2.74e-14 ***
DESTIN_ID539 1.6600183 0.2939831 5.647 1.64e-08 ***
DESTIN_ID540 4.4635901 0.2904630 15.367 < 2e-16 ***
DESTIN_ID541 0.9133015 0.3143332 2.906 0.003666 **
DESTIN_ID547 1.0512198 0.3641586 2.887 0.003893 **
DESTIN_ID548 1.8539151 0.3275486 5.660 1.51e-08 ***
DESTIN_ID557 1.2262671 0.3062134 4.005 6.21e-05 ***
DESTIN_ID558 2.3746201 0.2941013 8.074 6.79e-16 ***
DESTIN_ID559 2.0449292 0.2921134 7.000 2.55e-12 ***
DESTIN_ID560 5.0726648 0.2904398 17.465 < 2e-16 ***
DESTIN_ID562 1.4476891 0.2998926 4.827 1.38e-06 ***
DESTIN_ID577 1.3522386 0.2986802 4.527 5.97e-06 ***
DESTIN_ID578 4.9322682 0.2904376 16.982 < 2e-16 ***
DESTIN_ID595 2.0576400 0.2959442 6.953 3.58e-12 ***
DESTIN_ID596 3.7453499 0.2908335 12.878 < 2e-16 ***
DESTIN_ID597 4.4005987 0.2905346 15.147 < 2e-16 ***
DESTIN_ID598 5.6672951 0.2904000 19.515 < 2e-16 ***
DESTIN_ID60 1.0950442 0.4087474 2.679 0.007384 **
DESTIN_ID600 5.5538338 0.2906580 19.108 < 2e-16 ***
DESTIN_ID61 1.4432282 0.2963042 4.871 1.11e-06 ***
DESTIN_ID613 2.5308795 0.2992329 8.458 < 2e-16 ***
DESTIN_ID614 1.2436623 0.3020880 4.117 3.84e-05 ***
DESTIN_ID615 5.3170537 0.2904472 18.306 < 2e-16 ***
DESTIN_ID616 6.0168111 0.2903888 20.720 < 2e-16 ***
DESTIN_ID617 3.8775130 0.2909655 13.326 < 2e-16 ***
DESTIN_ID62 2.0524472 0.2958695 6.937 4.01e-12 ***
DESTIN_ID633 2.6803632 0.2934252 9.135 < 2e-16 ***
DESTIN_ID634 4.8691347 0.2905232 16.760 < 2e-16 ***
DESTIN_ID635 3.6798440 0.2908471 12.652 < 2e-16 ***
DESTIN_ID636 5.3972020 0.2904159 18.584 < 2e-16 ***
DESTIN_ID638 1.7831155 0.2960745 6.023 1.72e-09 ***
DESTIN_ID654 3.2265458 0.2911704 11.081 < 2e-16 ***
DESTIN_ID657 1.9415480 0.2950352 6.581 4.68e-11 ***
DESTIN_ID662 2.7357147 0.3131906 8.735 < 2e-16 ***
DESTIN_ID671 3.8821952 0.2913201 13.326 < 2e-16 ***
DESTIN_ID673 2.9462533 0.2912866 10.115 < 2e-16 ***
DESTIN_ID674 4.8812067 0.2904674 16.805 < 2e-16 ***
DESTIN_ID682 3.4146269 0.2968443 11.503 < 2e-16 ***
DESTIN_ID689 2.6807830 0.2965506 9.040 < 2e-16 ***
DESTIN_ID690 4.2412283 0.2908643 14.581 < 2e-16 ***
DESTIN_ID691 2.9142619 0.2914797 9.998 < 2e-16 ***
DESTIN_ID692 5.6286005 0.2904040 19.382 < 2e-16 ***
DESTIN_ID693 3.3054378 0.2913847 11.344 < 2e-16 ***
DESTIN_ID695 5.2508878 0.2904945 18.076 < 2e-16 ***
DESTIN_ID700 3.9928102 0.2929710 13.629 < 2e-16 ***
DESTIN_ID710 2.1297692 0.2934227 7.258 3.92e-13 ***
DESTIN_ID711 4.6056474 0.2904761 15.856 < 2e-16 ***
DESTIN_ID712 3.8395577 0.2906228 13.211 < 2e-16 ***
DESTIN_ID713 3.9361351 0.2909779 13.527 < 2e-16 ***
DESTIN_ID714 4.4573702 0.2906250 15.337 < 2e-16 ***
DESTIN_ID715 3.0568908 0.2913500 10.492 < 2e-16 ***
DESTIN_ID727 0.9677436 0.3173943 3.049 0.002296 **
DESTIN_ID728 5.3369071 0.2904956 18.372 < 2e-16 ***
DESTIN_ID729 6.2940057 0.2903835 21.675 < 2e-16 ***
DESTIN_ID730 4.5437661 0.2904927 15.642 < 2e-16 ***
DESTIN_ID731 5.2965594 0.2904852 18.233 < 2e-16 ***
DESTIN_ID732 2.8781996 0.2923160 9.846 < 2e-16 ***
DESTIN_ID733 5.0556504 0.2904434 17.407 < 2e-16 ***
DESTIN_ID734 4.3344466 0.2906146 14.915 < 2e-16 ***
DESTIN_ID738 3.8983115 0.2923851 13.333 < 2e-16 ***
DESTIN_ID746 2.4399100 0.2983998 8.177 2.92e-16 ***
DESTIN_ID748 2.8871554 0.2912214 9.914 < 2e-16 ***
DESTIN_ID749 4.8864916 0.2904672 16.823 < 2e-16 ***
DESTIN_ID750 4.9273818 0.2904448 16.965 < 2e-16 ***
DESTIN_ID751 4.7010748 0.2905343 16.181 < 2e-16 ***
DESTIN_ID752 4.2409249 0.2906401 14.592 < 2e-16 ***
DESTIN_ID753 6.4892313 0.2903859 22.347 < 2e-16 ***
DESTIN_ID754 5.8380656 0.2904557 20.100 < 2e-16 ***
DESTIN_ID757 1.4250324 0.3174535 4.489 7.16e-06 ***
DESTIN_ID764 1.0456843 0.3549441 2.946 0.003219 **
DESTIN_ID766 4.6511380 0.2905506 16.008 < 2e-16 ***
DESTIN_ID767 5.4282402 0.2904423 18.690 < 2e-16 ***
DESTIN_ID768 4.4229230 0.2905141 15.224 < 2e-16 ***
DESTIN_ID769 3.5986291 0.2907100 12.379 < 2e-16 ***
DESTIN_ID770 4.6903295 0.2904935 16.146 < 2e-16 ***
DESTIN_ID771 4.6762982 0.2904727 16.099 < 2e-16 ***
DESTIN_ID772 4.2196973 0.2906136 14.520 < 2e-16 ***
DESTIN_ID773 6.1722379 0.2904844 21.248 < 2e-16 ***
DESTIN_ID774 2.0737287 0.3051327 6.796 1.07e-11 ***
DESTIN_ID775 1.2334952 0.3122664 3.950 7.81e-05 ***
DESTIN_ID776 3.0767508 0.2943723 10.452 < 2e-16 ***
DESTIN_ID78 2.9511280 0.3232573 9.129 < 2e-16 ***
DESTIN_ID784 3.2568598 0.2936494 11.091 < 2e-16 ***
DESTIN_ID785 3.3741071 0.2913280 11.582 < 2e-16 ***
DESTIN_ID786 4.0886556 0.2908392 14.058 < 2e-16 ***
DESTIN_ID787 4.7328592 0.2907974 16.275 < 2e-16 ***
DESTIN_ID788 6.0968057 0.2903857 20.996 < 2e-16 ***
DESTIN_ID789 5.8266373 0.2904599 20.060 < 2e-16 ***
DESTIN_ID79 -2.7071209 0.7648968 -3.539 0.000401 ***
DESTIN_ID790 2.6952348 0.2913976 9.249 < 2e-16 ***
DESTIN_ID791 3.9826012 0.2907523 13.698 < 2e-16 ***
DESTIN_ID792 3.0438126 0.2910688 10.457 < 2e-16 ***
DESTIN_ID793 0.9686565 0.3372872 2.872 0.004080 **
DESTIN_ID794 1.4346579 0.3047555 4.708 2.51e-06 ***
DESTIN_ID795 3.7024682 0.2924439 12.660 < 2e-16 ***
DESTIN_ID80 2.3289608 0.2931135 7.946 1.93e-15 ***
DESTIN_ID803 3.6126977 0.2911221 12.410 < 2e-16 ***
DESTIN_ID804 3.9721413 0.2907629 13.661 < 2e-16 ***
DESTIN_ID805 1.7436912 0.2969988 5.871 4.33e-09 ***
DESTIN_ID806 5.1384007 0.2904479 17.691 < 2e-16 ***
DESTIN_ID807 3.9817463 0.2910361 13.681 < 2e-16 ***
DESTIN_ID809 4.9570204 0.2904466 17.067 < 2e-16 ***
DESTIN_ID81 4.6949643 0.3051327 15.387 < 2e-16 ***
DESTIN_ID810 2.6298204 0.2916037 9.018 < 2e-16 ***
DESTIN_ID811 2.9512200 0.2921025 10.103 < 2e-16 ***
DESTIN_ID812 1.7980667 0.2966187 6.062 1.35e-09 ***
DESTIN_ID813 3.3326626 0.2915844 11.429 < 2e-16 ***
DESTIN_ID814 2.2291019 0.2978060 7.485 7.15e-14 ***
DESTIN_ID82 1.1437509 0.5001671 2.287 0.022211 *
DESTIN_ID822 4.0191265 0.2921179 13.759 < 2e-16 ***
DESTIN_ID823 4.2786602 0.2905611 14.726 < 2e-16 ***
DESTIN_ID824 1.5364964 0.2951183 5.206 1.93e-07 ***
DESTIN_ID825 4.1038715 0.2907125 14.117 < 2e-16 ***
DESTIN_ID826 4.8307455 0.2904794 16.630 < 2e-16 ***
DESTIN_ID829 4.6339318 0.2904887 15.952 < 2e-16 ***
DESTIN_ID831 4.7500259 0.2907083 16.339 < 2e-16 ***
DESTIN_ID832 1.7353461 0.2961133 5.860 4.62e-09 ***
DESTIN_ID833 2.9133055 0.2917410 9.986 < 2e-16 ***
DESTIN_ID840 4.0080521 0.2910090 13.773 < 2e-16 ***
DESTIN_ID841 4.7133386 0.2904977 16.225 < 2e-16 ***
DESTIN_ID842 5.6599775 0.2904064 19.490 < 2e-16 ***
DESTIN_ID843 1.9746548 0.2941318 6.714 1.90e-11 ***
DESTIN_ID844 2.6173195 0.2930749 8.931 < 2e-16 ***
DESTIN_ID845 4.4561637 0.2906402 15.332 < 2e-16 ***
DESTIN_ID846 1.7204355 0.2944237 5.843 5.11e-09 ***
DESTIN_ID847 6.5330324 0.2903802 22.498 < 2e-16 ***
DESTIN_ID850 0.6030462 0.7648590 0.788 0.430439
DESTIN_ID851 6.3521709 0.2904355 21.871 < 2e-16 ***
DESTIN_ID852 2.0015358 0.2951563 6.781 1.19e-11 ***
DESTIN_ID859 4.0006433 0.2909627 13.750 < 2e-16 ***
DESTIN_ID860 5.7733341 0.2904503 19.877 < 2e-16 ***
DESTIN_ID861 6.5408217 0.2903806 22.525 < 2e-16 ***
DESTIN_ID862 2.3615554 0.2938861 8.036 9.31e-16 ***
DESTIN_ID863 3.8967276 0.2909432 13.393 < 2e-16 ***
DESTIN_ID864 2.5379493 0.2919513 8.693 < 2e-16 ***
DESTIN_ID865 5.3817671 0.2904568 18.529 < 2e-16 ***
DESTIN_ID866 3.0781334 0.2910650 10.575 < 2e-16 ***
DESTIN_ID867 4.9550472 0.2905146 17.056 < 2e-16 ***
DESTIN_ID869 1.8072820 0.3038060 5.949 2.70e-09 ***
DESTIN_ID871 1.9939051 0.2942594 6.776 1.24e-11 ***
DESTIN_ID872 6.5982260 0.2904560 22.717 < 2e-16 ***
DESTIN_ID878 4.4286128 0.2906101 15.239 < 2e-16 ***
DESTIN_ID879 5.0947962 0.2904381 17.542 < 2e-16 ***
DESTIN_ID880 4.8723619 0.2904807 16.773 < 2e-16 ***
DESTIN_ID882 4.3626032 0.2907035 15.007 < 2e-16 ***
DESTIN_ID883 3.4657618 0.2910405 11.908 < 2e-16 ***
DESTIN_ID884 3.2131091 0.2912009 11.034 < 2e-16 ***
DESTIN_ID885 4.8003174 0.2904658 16.526 < 2e-16 ***
DESTIN_ID886 4.6684994 0.2906479 16.062 < 2e-16 ***
DESTIN_ID890 2.2880270 0.2921290 7.832 4.79e-15 ***
DESTIN_ID891 4.2635651 0.3842361 11.096 < 2e-16 ***
DESTIN_ID897 4.4873976 0.2906954 15.437 < 2e-16 ***
DESTIN_ID898 4.5884786 0.2905809 15.791 < 2e-16 ***
DESTIN_ID899 3.6764967 0.2907485 12.645 < 2e-16 ***
DESTIN_ID900 3.5714729 0.2909620 12.275 < 2e-16 ***
DESTIN_ID901 4.6642623 0.2905594 16.053 < 2e-16 ***
DESTIN_ID902 3.8577680 0.2908725 13.263 < 2e-16 ***
DESTIN_ID903 3.0444847 0.2930089 10.390 < 2e-16 ***
DESTIN_ID904 5.3832011 0.2904570 18.534 < 2e-16 ***
DESTIN_ID905 4.6111005 0.2905886 15.868 < 2e-16 ***
DESTIN_ID907 2.5919390 0.2950250 8.785 < 2e-16 ***
DESTIN_ID909 5.5978503 0.2904361 19.274 < 2e-16 ***
DESTIN_ID910 5.6930107 0.2904362 19.602 < 2e-16 ***
DESTIN_ID915 2.8088959 0.2944389 9.540 < 2e-16 ***
DESTIN_ID916 4.4884338 0.2909836 15.425 < 2e-16 ***
DESTIN_ID917 3.5222487 0.2910753 12.101 < 2e-16 ***
DESTIN_ID918 3.5964217 0.2909975 12.359 < 2e-16 ***
DESTIN_ID919 2.6918795 0.2919044 9.222 < 2e-16 ***
DESTIN_ID920 5.7499155 0.2904264 19.798 < 2e-16 ***
DESTIN_ID922 3.7294368 0.2912070 12.807 < 2e-16 ***
DESTIN_ID923 5.1934315 0.2904804 17.879 < 2e-16 ***
DESTIN_ID927 4.0907647 0.2909170 14.062 < 2e-16 ***
DESTIN_ID928 4.8533767 0.2905221 16.706 < 2e-16 ***
DESTIN_ID929 2.6044944 0.2929267 8.891 < 2e-16 ***
DESTIN_ID935 3.9782703 0.2909819 13.672 < 2e-16 ***
DESTIN_ID936 4.5476848 0.2906058 15.649 < 2e-16 ***
DESTIN_ID937 4.9482849 0.2905224 17.032 < 2e-16 ***
DESTIN_ID938 4.0101052 0.2907731 13.791 < 2e-16 ***
DESTIN_ID939 4.7352356 0.2905088 16.300 < 2e-16 ***
DESTIN_ID945 4.5918899 0.2911301 15.773 < 2e-16 ***
DESTIN_ID947 4.9875656 0.2904728 17.171 < 2e-16 ***
DESTIN_ID948 4.9750350 0.2905340 17.124 < 2e-16 ***
DESTIN_ID953 5.3013206 0.2905248 18.247 < 2e-16 ***
DESTIN_ID954 4.1140720 0.2907516 14.150 < 2e-16 ***
DESTIN_ID955 4.9884867 0.2905202 17.171 < 2e-16 ***
DESTIN_ID956 4.1171706 0.2907964 14.158 < 2e-16 ***
DESTIN_ID964 0.8003612 0.3298460 2.426 0.015247 *
DESTIN_ID966 5.4324189 0.2904482 18.704 < 2e-16 ***
DESTIN_ID967 5.3258725 0.2905575 18.330 < 2e-16 ***
DESTIN_ID972 4.5323835 0.2907549 15.588 < 2e-16 ***
DESTIN_ID973 3.0300512 0.2919553 10.378 < 2e-16 ***
DESTIN_ID974 3.5085139 0.2909587 12.058 < 2e-16 ***
DESTIN_ID975 3.8500940 0.2908686 13.237 < 2e-16 ***
DESTIN_ID977 5.0118921 0.2905114 17.252 < 2e-16 ***
DESTIN_ID983 1.8172743 0.3700973 4.910 9.10e-07 ***
DESTIN_ID985 4.3945621 0.2905833 15.123 < 2e-16 ***
DESTIN_ID986 2.7430611 0.2915051 9.410 < 2e-16 ***
DESTIN_ID99 -0.2010924 0.3886413 -0.517 0.604860
DESTIN_ID990 2.4634849 0.2966164 8.305 < 2e-16 ***
DESTIN_ID991 2.9602727 0.2950549 10.033 < 2e-16 ***
DESTIN_ID992 2.9189412 0.2971156 9.824 < 2e-16 ***
DESTIN_ID993 5.6485443 0.2904308 19.449 < 2e-16 ***
DESTIN_ID994 3.0247006 0.2921785 10.352 < 2e-16 ***
DESTIN_ID995 4.4975651 0.2906126 15.476 < 2e-16 ***
log(dists) -1.5664857 0.0004722 -3317.229 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 29522779 on 62704 degrees of freedom
Residual deviance: 6316372 on 61068 degrees of freedom
AIC: 6616746
Number of Fisher Scoring iterations: 7From this transformed value, it is possible to conclude the following: As the Doubly Constrained Model focuses entirely on the distance between the origin and destination hexagon cells (Fotheringham, 2001). The coefficient for the log-transform distance is -1.5665. This indicates that for every increase in one unit of log-transformed distance, the number of bus trip between an origin and destination hexagon is reduced by 1.5665. This indicates that even during the weekend/holiday morning peak period, the most important factor in determining bus travel is the distance between the origin and the destination, rather than other propulsive or attractive factors. If one attempts to parse a layman explanation, it would entail that commuters are less likely to travel by bus for further locations even during rest periods.
Conclusion
This study has attempted to study the bus commuter flow in Singapore on Weekend/Holiday Morning Peak between 11 am and 2 pm through the analysis of Origin-Destination Flow and the creation of a Spatial Interaction Model. The Traffic Analysis Zone chosen was a hexagon cells of 750m from edge to edge. In order to do this, it has incorporated a number of additional features which might constitute propulsive and attractive factors such as the residential capacity proxied through the number of occupied HDB units, number of entertainment venues, number of retail venues, number of leisure venues, number of F&B venues, number of financial service venues, number of train station, and number of bus stop.
From the analysis of the Origin-Destination Flow, which was accomplished through the creation of an O-D Matrix and a flowline map, it was shown that bus interchanges are the centers of major clusters of flowlines. Additionally, the Downtown Core saw a large number of thin flow lines, suggesting more dispersed trips with no clear concentrations. This potentially suggests that commuters in this area are more distributed rather than concentrated in key points, implying diverse options for commuters during the Weekend/Holiday Morning.
In terms of the Spatial Interaction Model, four models were constructed: Unconstrained, Origin Constrained, Destination Constrained, and Doubly Constrained. Every coefficients in every model demonstrate statistical significance. The models were then compared using their R-squared value, AIC, and RMSE; this helped determine that the Doubly Constrained Model produces the most optimal results, which is reinforced by the visualization of the models’ fitted values.
Within the Doubly Constrained Model, it is determined that the distance between the origin and destination hexagon cells is the most important factor in explaining the number of bus trips between the two. Potentially, this tells us that distance is still more relevant than other potential propulsive and attractive factors. Overall, the conclusion drawn is that bus travel during the weekend/holiday morning peak is heavily determined by the distance between the origin and destination.
Considering the study’s limitations, future research can consider incorporating more weekend/holiday-oriented information such as the diversity of retail and entertainment venue available in destination cells, and the diverse and average rating of F&B venues in destination cells. These information would help enrich the understanding of the propulsive and attractiveness factors in weekend/holiday morning flow. For example, even if there are technically many F&B options in an origin cell, the diversity and ratings in the destination cells might boost their attractiveness. Furthermore, the distinctions between train and bus trips might be important, as the distance commuters are willing to travel might depend on their choice of transit mode. Additionally, the Spatial Interaction models built did not take into account spatial weights, based on neighbor definition of the hexagon cells, it might not be realistic in accounting for spatial relationships.
In sum, this study has examined the Weekend/Holiday Morning flow based on origin and destination hexagon cells. However, the Spatial Interaction model can be improved further by including additional information on the attractiveness factors at the destination.
References
Farmer, C. and Oshan, T. (2017). Spatial interaction. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2017 Edition), John P. Wilson (ed.). https://gistbok.ucgis.org/bok-topics/spatial-interaction
Fotheringham, A. S. (2001). Spatial Interaction Models. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp. 14794–14800). Pergamon. https://doi.org/10.1016/B0-08-043076-7/02519-5
Miller, E. J. (2021). Traffic Analysis Zone Definition: Issues & Guidance. University of Toronto Faculty of Applied Science & Engineering Transportation Research Institute. https://tmg.utoronto.ca/files/Reports/Traffic-Zone-Guidance_March-2021_Final.pdf